{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Num workers: 6\n",
      "Backbone: mobilenetv2\n",
      "Path to dataset: /workspace/datasets/OpenSourceDatasets/VOCdevkit/VOC2012/\n",
      "N classes: 21\n",
      "Image size: (512, 512)\n",
      "Batch size: 2\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from utils import *\n",
    "from keras.optimizers import Adam\n",
    "\n",
    "image_size = (512, 512) #(512,512) (720, 1280)\n",
    "bs = 2\n",
    "\n",
    "better_model = False\n",
    "load_pretrained_weights = True\n",
    "\n",
    "losses = sparse_crossentropy_ignoring_last_label\n",
    "metrics = {'pred_mask' : [Jaccard, sparse_accuracy_ignoring_last_label]}\n",
    "\n",
    "backbone = 'mobilenetv2' #mobilenetv2, xception\n",
    "\n",
    "NET = 'deeplab_' + backbone\n",
    "PATH = '/workspace/datasets/OpenSourceDatasets/VOCdevkit/VOC2012/'\n",
    "\n",
    "n_classes = len(get_VOC2012_classes()) - 1\n",
    "\n",
    "print('Num workers:', workers)\n",
    "print('Backbone:', backbone)\n",
    "print('Path to dataset:', PATH)\n",
    "print('N classes:', n_classes)\n",
    "print('Image size:', image_size)\n",
    "print('Batch size:', bs)\n",
    "\n",
    "\n",
    "SegClass = SegModel(PATH, image_size)\n",
    "SegClass.set_batch_size(bs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## DeepLab V3+ And a SubPixel Upsampling Layer (better model) or Original"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From C:\\Users\\Jenia\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\framework\\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Colocations handled automatically by placer.\n",
      "WARNING:tensorflow:From C:\\Users\\Jenia\\Anaconda3\\lib\\site-packages\\keras\\backend\\tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n",
      "WARNING:tensorflow:From C:\\Users\\Jenia\\Desktop\\Keras-segmentation-deeplab-v3.1\\utils.py:110: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n",
      "WARNING:tensorflow:From C:\\Users\\Jenia\\Desktop\\Keras-segmentation-deeplab-v3.1\\utils.py:116: to_int64 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n",
      "WARNING:tensorflow:From C:\\Users\\Jenia\\Desktop\\Keras-segmentation-deeplab-v3.1\\utils.py:119: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n",
      "Weights path: weights/mobilenetv2_original.h5\n"
     ]
    }
   ],
   "source": [
    "if better_model:\n",
    "    model = SegClass.create_seg_model(net='subpixel',n=n_classes, load_weights=load_pretrained_weights, \n",
    "                                      multi_gpu=False, backbone=backbone)\n",
    "else:\n",
    "    model = SegClass.create_seg_model(net='original',n=n_classes, load_weights=load_pretrained_weights, \n",
    "                                      multi_gpu=False, backbone=backbone)\n",
    "    \n",
    "model.compile(optimizer = Adam(lr=7e-4, epsilon=1e-8, decay=1e-6), sample_weight_mode = \"temporal\",\n",
    "              loss = losses, metrics = metrics)\n",
    "print('Weights path:', SegClass.modelpath)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Train with generator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "train_generator = SegClass.create_generators(blur=5,crop_shape=None, mode='train', n_classes=n_classes,\n",
    "                                             horizontal_flip=True, vertical_flip=False, brightness=0.3, \n",
    "                                             rotation=False, zoom=0.1, validation_split=.15, seed=7, do_ahisteq=False)\n",
    "valid_generator = SegClass.create_generators(blur=0, crop_shape=None, mode='validation', \n",
    "                                             n_classes=n_classes, horizontal_flip=True, vertical_flip=False, \n",
    "                                             brightness=.1, rotation=False, zoom=.05, validation_split=.15, \n",
    "                                             seed=7, do_ahisteq=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "monitor = 'Jaccard'\n",
    "mode = 'max'\n",
    "\n",
    "# fine-tune model (train only last conv layers)\n",
    "if load_pretrained_weights:\n",
    "    flag = 0\n",
    "     for k, l in enumerate(model.layers):\n",
    "        l.trainable = False\n",
    "        if l.name == 'concat_projection':\n",
    "            flag = 1\n",
    "        if flag:\n",
    "            l.trainable = True\n",
    "        \n",
    "def build_callbacks(tf_board = False):\n",
    "    tensorboard = TensorBoard(log_dir='./logs/'+SegClass.net, histogram_freq=0,\n",
    "                        write_graph=False, write_images = False)\n",
    "    checkpointer = ModelCheckpoint(filepath = SegClass.modelpath, verbose=1, save_best_only=True, save_weights_only=True,\n",
    "                                    monitor = 'val_{}'.format(monitor), mode = mode)\n",
    "    stop_train = EarlyStopping(monitor = 'val_{}'.format(monitor), patience=100, verbose=1, mode = mode)\n",
    "    reduce_lr = ReduceLROnPlateau(monitor = 'val_{}'.format(monitor), factor=0.5,\n",
    "                patience=5, min_lr=1e-6)\n",
    "    if tf_board:\n",
    "        callbacks = [reduce_lr, stop_train, tensorboard]\n",
    "    else:\n",
    "        callbacks = [checkpointer, reduce_lr, stop_train]\n",
    "    return callbacks\n",
    "\n",
    "callbacks = build_callbacks(tf_board = False)\n",
    "        \n",
    "SegClass.set_num_epochs(10)\n",
    "history = SegClass.train_generator(model, train_generator, valid_generator, callbacks, mp = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compare Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load original deeplab and subpixel-deeplab\n",
    "model1 = SegClass.create_seg_model(net='original',n=n_classes, load_weights=False, multi_gpu=False, backbone=backbone)\n",
    "model1.load_weights('weights/mobilenetv2_original.h5')\n",
    "model2 = SegClass.create_seg_model(net='subpixel',n=n_classes, load_weights=False, multi_gpu=False, backbone=backbone)\n",
    "model2.load_weights('weights/mobilenetv2_subpixel.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mIOU(gt, preds):\n",
    "    ulabels = np.unique(gt)\n",
    "    iou = np.zeros(len(ulabels))\n",
    "    for k, u in enumerate(ulabels):\n",
    "        inter = (gt == u) & (preds==u)\n",
    "        union = (gt == u) | (preds==u)\n",
    "        iou[k] = inter.sum()/union.sum()\n",
    "    return np.round(iou.mean(), 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Subpixel DeepLab + CRF\\nmIOU: 0.61')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "i = np.random.randint(0, len(valid_generator))\n",
    "x,y,s = valid_generator.__getitem__(i)\n",
    "preds1 = np.argmax(model1.predict(x), -1)[0].reshape(image_size)\n",
    "preds2 = np.argmax(model2.predict(x), -1)[0].reshape(image_size)\n",
    "\n",
    "im = x[0].astype('uint8')\n",
    "gt = y[0].reshape(image_size).astype('int32')\n",
    "\n",
    "plt.figure(figsize=(14,10))\n",
    "plt.subplot(141)\n",
    "plt.imshow(x[0].astype('uint8'))\n",
    "plt.imshow(preds1, alpha=.5)\n",
    "plt.title('Original DeepLab\\nmIOU: '+str(mIOU(gt, preds1)))\n",
    "plt.subplot(142)\n",
    "plt.imshow(x[0].astype('uint8'))\n",
    "plt.imshow(preds2, alpha=.5)\n",
    "plt.title('Subpixel DeepLab\\nmIOU: '+str(mIOU(gt, preds2)))\n",
    "plt.subplot(143)\n",
    "MAP = do_crf(im, preds1, zero_unsure=False)\n",
    "plt.imshow(x[0].astype('uint8'))\n",
    "plt.imshow(MAP, alpha=.5)\n",
    "plt.title('Original DeepLab + CRF\\nmIOU: '+str(mIOU(gt, MAP)))\n",
    "plt.subplot(144)\n",
    "MAP = do_crf(im, preds2, zero_unsure=False)\n",
    "plt.imshow(x[0].astype('uint8'))\n",
    "plt.imshow(MAP, alpha=.5)\n",
    "plt.title('Subpixel DeepLab + CRF\\nmIOU: '+str(mIOU(gt, MAP)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_iou(model, nb_classes = 21):\n",
    "    SegClass.set_batch_size(1)\n",
    "    valid_generator = SegClass.create_generators(crop_shape = None,mode = 'validation', n_classes = nb_classes, \n",
    "                                                 horizontal_flip = False, vertical_flip = False,\n",
    "                                                 brightness=0, rotation=False,\n",
    "                                                 zoom=0, validation_split = .05, seed = 7, do_ahisteq = False)\n",
    "    label = np.zeros((len(valid_generator),np.prod(image_size)), dtype='float32')\n",
    "    X = np.zeros((len(valid_generator), image_size[0], image_size[1], 3), dtype='float32')\n",
    "    for n in range(len(valid_generator)):\n",
    "        x,y,_ = valid_generator.__getitem__(n)\n",
    "        label[n,:] = y[0,:,0]\n",
    "        X[n,:,:,:] = x\n",
    "    preds = model.predict(X, batch_size=1)\n",
    "    conf_m = np.zeros((nb_classes, nb_classes), dtype=float)\n",
    "    total = 0\n",
    "    mask = np.reshape(np.argmax(preds, axis=-1), (-1,) + image_size)\n",
    "    flat_pred = np.ravel(mask).astype('int')\n",
    "    flat_label = np.ravel(label).astype('int')\n",
    "    for p, l in zip(flat_pred, flat_label):\n",
    "        if l == nb_classes:\n",
    "            continue\n",
    "        if l < nb_classes and p < nb_classes:\n",
    "            conf_m[l-1, p-1] += 1\n",
    "        else:\n",
    "            print('Invalid entry encountered, skipping! Label: ', l,\n",
    "                    ' Prediction: ', p, ' Img_num: ', img_num)\n",
    "    I = np.diag(conf_m)\n",
    "    U = np.sum(conf_m, axis=0) + np.sum(conf_m, axis=1) - I\n",
    "    IOU = I/U\n",
    "    meanIOU = np.mean(IOU)\n",
    "    return conf_m\n",
    "conf_1 = calculate_iou(model1, nb_classes = 21)\n",
    "conf_2 = calculate_iou(model2, nb_classes = 21)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Subpixel DeepLab\\nMean IOU: 0.92')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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etQJuBP6AM+DMcx9Xln0rmIpOnIMJxhhjjDHGGGO8sm+wjDHGGGOMMSZCbIBljDHGGGOMMRFiAyxjjDHGGGOMiRAbYBljjDHGGGNMhNgAyxhjjDHGGGMipGq0E6iIpOqJKrFFbyBeek0uqB/BbIwxlZ3Xa8V6vbOo1xzWrV3D1q1bI5FGpSNVT1Q5oUaZ45tceGYEszHGmOg7HvXIBljHgMTWJPaC28sc/+Gnz0UwG2NMZef1dhwi3sc2+/aX/d6cbVtd5nn5lZWcUIPY87uVOf7DT/8ewWyMMSb6vNTE1le0KNV8doqgMcYYY4wxxkRIzKhRo6KdQ4Xz+F/HjKpZrykvPHI717W5iJonBUj7eQMAXTo0YUjP9lx/ZSN+XreFrJydTPlTD/7Q+kI6tm/M6yvTGNHrulBfwWCQvn1Seetfb5KTm8vFF18CQHpaGvcPHcw/X1nCueedT926dYvNxWu8H3KIdrwfcoh2vB9yiHa8H3KIRHy/e3rz1r/eIDcnl0Zh8SOGDWHpK0s499zzDokP/warrDnk5uXR/97eLHvrTXJzc0LL/jY9jQeGD+HVfy7h3PPOI2tHFg8/OILXX13Kjz/+QMtWrZk2ZRJ9+vR+vMQXxpTo8b+MHlWzXhNeePROrmvT0K1H6wHo8oemDEm8huvbNuLndZvZuXsvL43qzlWXn8+lF9Tjwy9X80DvG0J9Rfv964ccoh3vhxyiHe+HHKId74ccoh0fqRyOtiZOnVzKeqSq9ojwQ6rX1aSHZ2qnQS9qoOlAXbjsCw00HaiBpgN10fIvNe6y+7R++4d06isf6altR+iLC9/XQNOB+uLC9/X0dg/ornwNPaZMm6mLXnlVd+Wrdu7aLdSelNxLN2zJ0o1bd2hKr94HxUQy3g85RDveDzlEO94POUQ73g85lDV+594C3bm3QCdPnaELlyzVnXsLtHOXbqH2xOQUXb95u27YkqXJvVJD7YWPSOTw0pTpOn/xPzV3937t1KWr5u7er7m792vPpBT9deM2zdi0XZNSUkPtubv360233Kq5u/drk6bNNNr79fL6kBPraNLI6dpp4EQNNO6nC99apYHG/TTQuJ8uWvaFxjUfoPWvGqFTl3yoLe94Skc9/5oGGvfTifNW6jnXjvTF+9dPOUQ73g85RDveDzlEO94POUQ73ksfXmpiaevRcTlFUEQaiMg7HuJ/jmQ+XpQ2l4RTa5GxaQcA+wsOnOs5ftZ7jB3ehd5d21C7RnVygruJrVaVJc/1plrVGLJydh7UT2ZmBvXqORe9iImJCbVn52RTq1Yt4uPjyc3LLTEPr/F+yCHa8X7IIdrxfsgh2vF+yOFYxedk54Ti83LzSoz3kkNmZuaBuCphyw6Ly8s9ELdowTzaX9PhsLmUReWsR7XJ2JgFFKlHM99l7Ihu9O7Wlto1q/P19xnEVqvK00M7cUadeM6oW+ugfqL9/vVDDtGO90MO0Y73Qw7RjvdDDtGOP5Y5HE1NLEmF/Q2WiER13TI37SDhVKc4VQk7vWZV+joGPrmAuW+uImNTFk0uqMfaDdvpNOgl1mRu45LzEg7qJyGhHpmZGQAUFBz4kXh8zXiys7PJycmhRlzJV4jyGu+HHKId74ccoh3vhxyiHe+HHI5VfM34mqH4uBpxJcZ7ySEhIeFAnIYtOywuroYTt2jBPNatW0dK6j2HzaW8iH49yiLh1NoAVKkSXo/WMvAv85j75mdkbMxCVXn8hdcZ8ewSsnJ28kvG1oP6ifb71w85RDveDzlEO94POUQ73g85RDv+WOZwNDWxJKLq9QK+pViISANgCfATcDYwC/gP8CjOlQy3A7ep6m4RuQ0YDOwC3lLVp0XkZ1U9R0TaACOBHkAjYDywDtgDvKGq090jeguAlsCNwFigIc5g8j5V/UxEVgDdVTVDRB4GMsJiFwNXABtU9Xa3MM4E6gNfAjep6jmHW98qJ52qtRvfzbgRXdi9N5+Pv/4fHVpeSMqjs7m29UXc0LYhcSfG8tBzS8kJ7uYfj9xBVu4uTql1Er1HzSFz5ehQX8FgkMED+xMIBGjZug1vL3uLqTNmkZ6WxtgxzwAwZNj9NGzUqNhcvMb7IYdox/shh2jH+yGHaMf7IYeyxhfu54PBIIMHDSAQiKVVqza8vXwZU6bPJD0tjXHPOvudwUOHHxJf9DdYZckhOyeXofcNcOJatead5cuYNG0m36anMd5d9n1Dh5Ofn0+3zrdw3fV/5MTq1XnqmWdp2+oyvvxiVUQu017p6lH1ulr70u6Me6CbU4++Wk2HVheR8shMrm1zETe0vdipR+NfYdO2XMY/2I1qVWP45vsMXlr4PlmfH7iKYLTf/37IIdrxfsgh2vF+yCHa8X7IIdrxXvrwUhNbX9GiVPXoeA6wPgd+B+x2n9+iqmvd6U8D6cAbwArgClUNikiMqu53C81w4C7gblXdKSJfALcCGcAyYI5blNYAd6jqxyJyK3CzqiaLyO+Aeap62WEK2hrgVlX9WkSWA0OAc4HrVLWPiLQGXlbVBsWsY2+gNwAn1GgWaJRU5u2VZZdpN8ZEkNf9vB8u0x7hAVblqUfV4poFGvYs8/YKH2AZY0xF4KUmlnaAdTzvg/W9quYCiEgacJqITAJigVOBHJyjif9R1SCAqu53YwUYA1yjqoU/Uqqhqr+6/X0Wtpz9wCfu8/OBj9y+/icitd328C0bvpH2qerX7vN1wG+A84DC/j+lhPuTqepLwEvgfIN1+E1hjDEmiipPPape1+qRMcYcZ8fzvPALRCRORKrinE4xCnhMVX8PvIpTWH4GLhaRE+Gg89YV+CMwS0TOctvyRKSe+7x52HJUDwxNfwBauX39Dtjhtm8HCmObHSZnwTmNpLD/FhxcAI0xxpQ/Vo+MMcYcM8fzG6w1wCScUxxmABuBKSLyA5AN5KjqdhH5K7BCRHYCbwFPA6jq9yKSCLwsIj2BYcDrIpKJc5rH3mKW+SrwRxH5AIgBBrjtE4DJIvIjzvnyh7MU6CIiK3GOGO4ry8obY4zxjTVYPTLGGHOMHJffYB0LIlJNVfPF+XHAW8BIVV0V7bzAOUUw9oLbyxxvv8EyxkSS/Qbr2PJ1PapeV2PP71bmePsNljGmojkev8Eqz5dpv9Y9ivcZ8K1fipkxxphKx+qRMcaYkON5imBEqerrwOvRzsMYY0zlZvXIGGNMuHI7wPKzJhfU50MPp/nVbvew5xyyVjzhuQ9j/KCgwNvpbV5Pgo6p4tsz00otEqf4ebXfw+tYTs9k94UmF57Jh5+W/TS/2q2Ges4h66NnPfdhTEXgZT8IFaMe+cHxqCnl+RRBY4wxxhhjjPEVG2AZY4wxxhhjTITYAMsYY4wxxhhjIsQGWMYYY4wxxhgTITbAOsaCwSC9knrSt08qc+e8HGpPT0sjscddJPa4i/S0tEPiqgeqMWlkZ56//1Zu73BpqL3L1Y2Y/HBnJj7QkfPPqhNqnzDsZp7sd13Elh/JPsp7vB9yiHZ8NHMIBoOkpiTS795U5s0Ni0tPI6lnd5J6dic93Ykb0LcPLZpeckh875RE+t+byvwi8ck9u5Psxv/4ww/c2zuZe1KTGTvmaV9tA7/Ee+kjGAxyT2oSA/v2YcG8OaH2b9PTSE3qQWpSD75NT6OgoID7+t9Ln16JDB7Q97C5mKNT9np0ApMeu53nH+rK7dc2DbV3uaYxk0fdwcSHu3F+g7rUPTmOCQ90ZsIDnfnx1YepcVJsRJYfyT7Ke7wfcoh2vB9y8LIftHoUmXgvfXj9f0WpqGq5fAAPABcfxfyjgO7HI7emTZvprnzVXfmqU6bN1EWvvKq78lU7d+0Wak9K7qUbtmTpxq07NKVX71D7rnzVQOuRmvSnhdrp/pkaaD1SF77zHw20HqmB1iN10bv/0bi2j2j9P/5Vp776uQZaj9Q7Rs7RPn9douPmvB+az8vyiz689lHe4/2QQ7Tjo5nDpKkzdOHipRrcU6Cdu3TT4J4CDe4p0MTkFM3ctF3Xb87S5JTUUPutHTuHngf3FOikqTN0weKlmrenQDt16aZ5ewo0z43P2LRdMzdnaVJKaqg9b0+B3nRLx9BzP2wDv8R76eMfk6fr3IWv6I6d+7Rj5666Y+c+3bFzn96dmKJr1m/VtRu2aWJyaqh9x8592u32O3V73l5t3KSZRrvmVNp61GKIJj36snYaPFkDLYbowuVfaaDFEA20GKKL3v5K464YpvX/8KhO/ecnofb6f3hUZ73+WehvP7z/Kkq8H3KIdrwfcvBSz6weRf994OX/FU2alq4eldvLtKvqU0XbRCRGVfdHI5+SZGZm0LDRxQDExMSE2rNzsqlVqxYAuXm5h8Ql1KlJ+uqNAOwvKAi1j5/7AWMH38im7XnUrnEidWufxKXnnc7UV1dxQYM6h/RT1uVHso/yHu+HHKIdH80cwuOqhMXlZOeExeUd/XLD4vPC4hcumEf7azpEdB0qSryXPtZnZnBRw0aHxOWExeW5cd9/9y3jx44mPr4WVar4/0SLCl+P6saT/vMGoEg9mr2CscM7smlbLrVrnBhq73FjC2a/cei9lsvzfsgv8X7IIdrxfsghEvXM6lH03gde/19RGv6vXICInCIi74rIChH5UETOE5HpItLGnb5WRF4AlopIOxH5PxF5RUS+FpGuxfQ3w+3rSxG52W1LFJF/isgSEUkTkSvd9otF5B0ReU9EFojIiUX7O5yEhHpkZmYAUBBWmOJrxpOdnU1OTg414mocEpe5JYeEuvEAVAm7h82q7zIZOOZV5i77mozN2VzZ5LfUqRXHQ0lX0bbpbzmn/m8isvxI9lHe4/2QQ7Tjo5lDQkI91mc4cRoWVzO+Zlhc3OGXm1HMcsPi49z4hQvm8eu6tfTqfY+vtoFf4r30cUZCPdYXE1czLC7Ojbvgwov4x6RpFBQUsG7d2sPmc7xVynq0OZuEU4upR9/+ysCnFjP3X1+QsWlHqL1ts7NZuerniC0/kn2U93g/5BDteD/k4KWeWT2KTLyXPrz+v6I0xD1dwddEpBpOrntF5HqgK87gcLKqfiAie4FzVHWdiLQD/g40BqoDq4ALgEeBn1V1toicpKpBEfkNsFJVG4lIInCrqt4qIq2AIaraRUT+jXMqxzoRGQTsV9VD7tooIr2B3gD1zzyz2Y+rnf8UBINBBg/sTyAQoGXrNry97C2mzphFeloaY8c8A8CQYffTsFGjUF+12z1M9UA1xg2+id178/n4P+vocPm5pDyxiGuvOI8bWp9P3ImxPPTCW2za7oywzzytFvd2voIHn38LOHCj4bIsvyivfZT3eD/kEO34aOaQm5vHkPsGEIiNdeKWL2PKtJmkp6cx7tnRAAweOpyGDRsx6tGRLFown6vbX8Posc8RGxtLXjDI0PsGEBsbSys3frIbP96Nv2/ocPbl59O1081cd/0fqV69Ok+NHgscfGPHaL8O0Y730sf2HTkMHzyQQCDAFa1a887by3hpygy+TU/juXFjABg0eBi1a5/M2DFPowUFVImJ4anRY7n6ypZ89eUqX9xhs9LVo1ZDqR44gXHDO7J77z4+/voXOrQ8n5RRc7m21QXccGVD4k48gYf+9jqbtuXSttnZXH5xA0ZPfzfUR+GNhsvzfsgv8X7IIdrxfsihrPE5uXlWjyIU76UPL/+vaN+uDV9+ceR6VF4GWHWA54HTgBOAXCCTAwXtF1X9rTtvOyBFVXu4f38AdAbuBX4G5gBPAa2AfUAzVa3hFrT6qvpnEakHzFLVq0RkG/BfN5UA8I6qPny4fJs1a64ffnro6RGlVbvdYbsvlcIBljHlXYHHO9973cOFFzRTdnvyy362XLvWl/tpgFW56lGroWWOLVQ4wDKmstvvsZ5ZPYoML/+vaNOyRakGWOXlN1jdga9U9UkRuQEYUmR60crdWESqAicCpwJbwqZdClyiqm1E5BRgddi08C1euPHSgDtUdQOAiJzgbVWMMcaUY1aPjDHGHFZ5GWAtB+aISFsgvRTzrwcWAr8FHlbVAjlw3vgPQDURWQl8DewovouQfsB097QQgCeBt48yf2OMMRWD1SNjjDGHVS4GWKqajnOkr6Tp5xRp+lVVexWZZ1TYn+3Dng9yp08PmzfFnh1UAAAgAElEQVQDaOc+TwOuLUPaxhhjKhirR8YYY46kXFxF0BhjjDHGGGPKg3LxDdbRUNUVwIoop2GMMaaSs3pkjDGVk32DZYwxxhhjjDERUuG+waoIInGJ9dot+nvL4fNDbq1S6Xi9hUHYD9mNB1XssrQVQrWYsh/Ps49S9ETiEuu1Lx/kLYdPn/OcQ3ln9ahisMus+4OX/1eUNtK+wTLGGGOMMcaYCLEBljHGGGOMMcZEiA2wjDHGGGOMMSZCbIB1jAWDQXol9aRvn1Tmznk51J6elkZij7tI7HEX6WlpEY+vHjiBSX/qwfOP3MHt1zcPtXf5Q1Mm/7kHEx+7k/N/eyonBqox9Ym7Gf9gN0b0Kv72KtFah2jHB4NBUpMT6XtPKvOKxCXd3Z2ku7uH4vr37UOLJpf4bh0iFe+HHKId74ccoh3vpY9gMEhqSiL97k1l3tywuPQ0knp2J6lnd9LTnbgBffvQomnJnydTNlGtR4/fxfMP38bt1zcLtXfp0ITJj9/FxEfu4PwGbj36cw/GP9CVESl/8NU6RDve6pG/coh2vB9yiHa8X3IokaqW2wfQAHinSNt1QI8I9J0IPFyW2KZNm+mufNVd+apTps3URa+8qrvyVTt37RZqT0rupRu2ZOnGrTs0pVfvUHvRR1njk0ZO104DJ2qgcT9d+NYqDTTup4HG/XTRsi80rvkArX/VCJ265ENtecdTOur51zTQuJ9OnLdSz7l2pAYa94tIDuU9fvLUGbpwyVLdubdAO3fppjv3FujOvQWamJyi6zdv1w1bsjS5V2qo/daOnUPPd+4t8MU6RCreDzlEO94POUQ73ksfk6bO0IWLl2pwj/N5Cu4p0OAe5/OUuWm7rt+cpckpqaH2Wzt2Dj1v0rSZRrveWD3yUI8enqmdBr2ogaYDdeGyLzTQdKAGmg7URcu/1LjL7tP67R/Sqa98pC3vfEZHvfC6BpoO1Inz/63nXP+oBpoO9NVnwOpR9OP9kEO04/2QQ7Tjo5VD01LWowr3DZaqvqWqs6KdR6HMzAzq1asPQExMTKg9OyebWrVqER8fT25ebsTjE06tTcbGLAD2Fxy4+tD4me8ydkQ3endrS+2a1fn6+wxiq1Xl6aGdOKNOPGfUreWbdYh2fElxOdk5obi83LwSl+uHdYhUvB9yiHa8H3KIdryXPjIzM0io78RVKeHzlJtXus9TeWH1yJFwai0yNu0AitSjWe8xdngXendtQ+0a1fn6h0ynHg2+1alHdeJ9sw7Rjrd65K8coh3vhxyiHe+XHEpSEQZYJ4vIfBFZJSKDRCRRRB4GEJGrRORDEVkhIuNE5EIRWVoYKCJTRORKEaktIotFZKWI/J+InBa+ABH5vTtthYj8Q47ieqcJCfXIzMwAoKCgINQeXzOe7OxscnJyqBFXI+LxmZuySDi1NnDw5ShXpa9l4F/mMffNz8jYmIWq8vgLrzPi2SVk5ezkl4ytvlmHaMeXFFczvmYoLq5GXInL9cM6RCreDzlEO94POUQ73ksfCQn1WJ/hxGkJn6cacaX7PPmY1aNi69EOEk51Dt5VkfB6tI6BTy5g7puryNjk1qOJbzJi3D+depS5zTfrEO14q0f+yiHa8X7IIdrxfsmhJOKeflAuiUgD4HPgd8Bu9/kc4ATgL8B3wO9VdZOIxKjqfhF5D7gTyAP+T1VbiMgzwGpVfdHttwpwN1DP7edLoJ2qZovIOOBdVX29pLyaNWuuH366CnDO7xw8sD+BQICWrdvw9rK3mDpjFulpaYwd8wwAQ4bdT8NGjYrtq6zxCVcOYdwD3di9N5+Pv1pNh1YXkfLITK5tcxE3tL2YuBNjeWj8K2zalsv4B7tRrWoM33yfwUsL3wcOvg9WtNYh2vF5eXkMHjSAQCCWVq3a8PbyZUyZPpP0tDTGPTsagMFDh9OwUSMee2QkixbO5+r21zBm7HPExsYedN+R8roN/JRDtOP9kEO04730kZubx5D7BhCIjXXili9jyrSZpKcX+Tw1bMSoR0eyaIHzeRo99jnat2vDl1+s8vUNZKweHaYe/X4440Z0cerR1/+jQ8sLSXl0Nte2vogb2jZ06tFzS5169EBXqlWtwjc/ZPLSwg+Ag++DFe3PgNWj6Mf7IYdox/shh2jHRyuH1pc354tS1KOKMMCapapXun/PBv4LVANeAl5R1dZFYnoACcBm4GRVHSMibwKDVPWnsPkScQrai8CPwDfupDhgsqr+o0i/vYHeAPXPPLPZj6vXRnRdj5bdaNg7r58Nu7GjMQcUFJT989SmZYvyMsCyelQMu9Gwd1aPjPGH0g6wqh6PZI6xC0QkDueIYSPgP277FpzTNeqo6hYRqaKqBcBCYCWwE+jmzpsGtAN+gtARw0Jbgf8BN6pqnju9WtEkVPUlnCJKs2bNy++o1RhjTFlZPTLGGFMhfoO1BpgEfALMwDkSiDqHe/oBr4rICuBZt323O+9WVd3i9vEkcIN7Xvt7QN3Czt1+hrj9/J+IvAtceBzWyxhjTPmyBqtHxhhT6ZXrb7BUdQ3Q4jDT3wNaFjcJ9+ieO18W0LHIPNPDpq8ErvaQqjHGmArM6pExxphC5XqAVRYiMgOooapvRzsXY4wxlZfVI2OMqZgq3QBLVXtGOwdjjDHG6pExxlRMFeE3WMYYY4wxxhjjC5XuG6zyIBKXzt/+2d88xZ/ZZ4Gn+HUvdjvyTD7n9bK2Xi5LXSj8JtGmbOzyxt5F4r38y5ZgmWP37Cs48kzmmIhEPfJ6mfVT757lKX7TzB6e4v3A6lHF4PV1sNcgMvukDTt2lzl27/7S1SP7BssYY4wxxhhjIsQGWMYYY4wxxhgTITbAMsYYY4wxxpgIsQHWMRYMBumV1JO+fVKZO+flUHt6WhqJPe4iscddpKelFRuXmpxI33tSmVckLunu7iTd3T0U179vH1o0uaTE5Ze2n3DVT4jhb8mX8WzP5nS+/MxQ+51tfsvoHs14eVAbRna6mBNPiOGFXpfzdPemDL6x+PtdlnUb+CXeSx/BYJDUlET63ZvKvLlhcelpJPXsTlLP7qSnO3ED+vahRdOSX8fyug38FF+Wz4Lf1iEa8ZF4H+/cGeSh+3rz2PD+vL5kfqj93+8u494enZkz7UUAtm7ZzOMPDOLxBwZxzWUXkpebU+L6mKPjh3pUluVXj63KxHtaMaHXFXRt/dtQe4fGZzB94JVMH3glV198eqh9XPLlPHFn04jm4Jd4L31YPYp+fKReg/K8DbzGR2J/tDMYZFj/VB4c0peli+aF2v/vnbdIvuNWZk6ZCEBBQQEjh/ZnaL9ePDxsQInrUixVtUeEH02bNtNd+aq78lWnTJupi155VXflq3bu2i3UnpTcSzdsydKNW3doSq/eofZd+ao79xbo5KkzdOGSpbpzb4F27tJNd+4t0J17CzQxOUXXb96uG7ZkaXKv1FD7rR07h56HP462n8JH30mf6F3P/VvrJM/XVz5dq3WS5x/0mLjsB73iwTe1/ePL9ckl/9U6yfN1yrs/6aVDX9U6yfMPWp+ybAM/xZe1j+CeAp00dYYuXLxUg3uc7R/cU6DBPc72z9y0XddvztLklNRQ+60dO4eeB/cUlPtt4Id4r58FP6xDtOO9vo+Dewr0r+Nf0r9Pm69pGbl67U2dNC0jN/SYuuBNfejPYw5qW/n1//TmLndoWkauXnRJE432fr28PvxQj7y+/1Kff1+7jX5Pa94xUxd/9IvWvGOm1rxjpj73Wppe0G+RnnvvQn3+zW+15h0ztce4FdrvxY90wmtpofn88BmK9r7Y6pE/4iP1GpTnbeA1PhL/Px7z98n60qyFunrzTr3hls66evPO0OPlV97Sx5589qC21Zt36i2db9efNuZpo0tLV48q5TdYItJARN4p0nadiBzxUkMi8vPRLCszM4N69eoDEBMTE2rPzsmmVq1axMfHk5uXW+q4nOycUFxebl6Zl3+kfk6vfSLrt+8CYH+Rq97EVq3CWXVOYvWmXP67LosTqlXhT7ddymm1Apxe+8SIbQO/xHvpIzMzg4T6TlyVErZ/bl7ZX8fysA38Hn80nym/rsOxjo/E+3jTxkxOO6Oes+wqMYedF2Dpgtnc0vWuI85X3lk9OvLyE04+icxtzlUow+vR4o/XMGNQW14e/Htmr/iZOjUDXNLgZFambYh4Dn6J99KH1aPox0fqNYjmOkQ7PhL7o40bMjm9sB7FHL4e/fTDdwzrn0rN+HiqVCn9sKlSDrCKo6pvqeoh14IVEU/bKCGhHpmZGYDzVWOh+JrxZGdnk5OTQ424GqWOqxlfMxQXVyOuzMs/Uj8bsnaFBktFLwt6U/N6vPGF06cqPPVKGo/O/4YdO/NZW8ylmMu6DfwS76WPhIR6rM9wt1UJ279GXNlfx/KwDfwefzSfKb+uw7GOj8T7+NTTEti4IdNZth7+Mreqymcfvc9lrdoedr6KqrLVoyMtP3N7kDNOrg4cXI+G3NyIG/60nOv/tJzBNzeizYWnUqdmgPs7XcKVDU/j7NNKvy5+/wxGog+rR9GPj9RrEM11iHZ8JPZHp50eVo8KDl+Pzj3/Qsb8fRIFBQVk/rrusPOGE1Xv15Mvb0SkAbAE+Ak4G5gFZAP1VPUJEVkBfAE0AgYAqUAb4HugvaqeeWivBzRr1lw//HQV4JwrOnhgfwKBAC1bt+HtZW8xdcYs0tPSGDvmGQCGDLufho0aheJV1YkbNIBAIJZWrdrw9vJlTJk+k/S0NMY9OxqAwUOH07BRIx57ZCSLFs7n6vbXMGbsc8TGxob6Opp+wl04cAlP3tWUPfn7+fSnrVx98Wn0m/wZADP6t6bPi5+wO38/AE93b0rVmCqkrcti2v+tBg6+D1ZZtkG4aMeXtY+CAud1HHLfAAKxsU7c8mVMmTaT9PQi279hI0Y9OpJFC5zXcbT7Ohb+Z6K8bgM/xBfu48r6WQi//0x53QZe43Nz8zy9jwHS127mrw8P5YTYAE1btOSDFe/w1IRJfP3Fp0z++7PkZO+gR0o/OvzxFj778N98/eWn9B4wHIBuN7Ql/ZsvK+QNYCpDPSr8DJX1/ffb1LmMTmzBnvz9fPzDFq655Az6TPyQLq0acM2lZwCwIm0j897/HwBnnnISvf9wPg/P+RI4+D5Y5fUz6LUPq0f+iPe6Lw0/wFBet4HX+Ly8PM//P16duY1RDw4mNjZA88tb8e/33ubZF6bw5eef8o8Jo8nesYOk3v1p0uIyJj43Bi0ooEpMDI88MZqO117Jf78+cj2qzAOsz4HfAbvd53OAE8IK2ouqOldEmgBPqup1btxPqlqtmD57A70B6p95ZrMfV68tc35+eE3Oumehp/iKcKNhr+zGjv7g9fNkNxqO/o2GK8EAq0LXI6+fIbvRsHdWj/zBbjTsXST2SV5uNHxLh9alGmBV5lMEv1fVXFXNB9KAohvrI/ff83AKHqq6BthUXGeq+pKqNlfV5nVOqXOMUjbGGFMBWT0yxpgKpDIPsC4QkTgRqYpz6kXRIfF+99+fgGYAInImcOrxS9EYY0wlYPXIGGMqkKrRTiCK1gCTgHOBGUAWUK/oTKr6pYh8JyIf4xxZXH88kzTGGFPhrcHqkTHGVBiVcoDlnlrR4jDT2xX5e+gxTskYY0wlZPXIGGMqnsp8iqAxxhhjjDHGRJQNsIwxxhhjjDEmQirlKYJ+F4mrtHvtwutl1mvfPMFTfNarAz3F+4EfLqdql4QFr1cn1iPchLA0qsaU72NZkbhSfcLJJ5Y59oRyvv3Ks0jUowKPnXi9zHrt26Z4is+an+Ip3g/8sC+PxKXivfDDNvC6BfL3ea9H1ara/rRW9UPublFqMaV8H9lWNsYYY4wxxpgIsQGWMcYYY4wxxkSIDbCMMcYYY4wxJkJsgHWMBYNBeiX1pG+fVObOeTnUnp6WRmKPu0jscRfpaWnFxqWmJNLv3lTmzQ2LS08jqWd3knp2Jz3diRvQtw8tml5ySHzvlET635vK/CLxyT27k1wk/rIi8ZFYh+qxVZk0pAPPD7ya29udH2q/tvlZzH7wemY/eD3tm5zJibFVmTrsD4zv244Rtx96teKyLj9S8X7IIVrvIz+sQyS2gZfPwoH43gfFf5ueRkrP7qT07M636Wn8+OMP3Ns7hXtSkxk75hlfbQOv8cFgkNTkRPrek8q8InFJd3cn6e7uobj+ffvQosmh76NgMMi9qUkM6tuHBfPmhNq/TU8jNakHqUk9+Db9wLIHD+jLIw8OL3FdzNGr9PWof1uev6cNt195dqj92qb1mD30KmYPvYr2lyZQNz7AhN6tmNC7FT/+4zZqnHjwbzWi/Rn2Qw7RfB+V93oWiXrUp1ciA/oWU48Su5OS6NSjgoICBvW/h94pPblvwL2+2gZe4yNVj/r2TuK+/n1YOP9APfouPY0+yT3ok9yD79zXodnF5zN0YF9mTJ1U4roUS1XtEeFH06bNdFe+6q581SnTZuqiV17VXfmqnbt2C7UnJffSDVuydOPWHZrSq3eofVe+anBPgU6aOkMXLl6qwT0F2rlLNw3uKdDgngJNTE7RzE3bdf3mLE1OSQ2139qxc+h5YfyCxUs1b0+BdurSTfP2FGieG5+xabtmbs7SpJTUUPstHTuHnuftKTgon7KsQ+D65zRp9DLt9NirGrj+OV248gcNXP+cBq5/TscuXKVnd5+iDe6cpH975UttOWCOjpr5kQauf04nvvaNntNjiuflRzLeDzmUNd7r+8gP6xCJbeDls/DSlOk6f/E/NXf3fu3Upavm7t6vubv3a8+kFP114zbN2LRdk1JSQ+25u/frTbfcetDf0d4GXuMnT52hC5cs1Z17nffRzr0FunOvsw3Xb96uG7ZkaXKv1FD7rR07h54XPiZOnq5zFr6iWTv3acfOXTVr5z7N2rlP705M0TXrt+qaDdu0Z3KqZu3cp9Nfnq8TXnhJ+w8arFk792njJs002vv18vqweqQa6DRZk55boZ3+ukwDnSbrwg9Wa6DTZA10mqxj//mNnt1rjjZIfln/9tp/Q+31E2frrPd+1ECnyb74DPoph2jVo4pQz7x+Fl6cMl3nL/qn5uzar506d9WcXfs1Z5dTj9Zt2Ka/bnTqUWF7zq792u32O3VHMD/0d7S3gR/q0QuTpunLC17RbXn5emunrrotL1+35eVrj8Rk/V/GFv0lc6v2TOql2/LytWGji/W2O7vr/CWv6ba8fL20SdNS1aNK8w2WiDQQkXc8xDcWkbZHG5eZmUG9evUBiImJCbVn52RTq1Yt4uPjyc3LLTYuob4TVyUsLic7Jywu7/DLrV/McsPi8w4TH4l1SDgljoytTvv+sKsHLfz3j7z80PXMf+RGZiz/lq9XbyG2WgxPp17JGSefxBm/iYvI8iMV74ccovU+8sM6eI33+lnIzMw8sNwqYdswbLl5uQeWu2jBPNpf08FX28BrfElx4e+jvNzDv4/Wh/Vx0HsxJ5v40OuQy+ZNm/jP11/x+6uuPmx/5ZnVI3e5x7MenVydjK1BoEg9+uB/vDysPfNHXMOM934Mtfe46lxmr/gpYsuPVLwfcojm+6i81zOvn4X1mZkkFLcfzQ5brluPvv/uW/r0SiQ+vhZVqhz63/3y/D7yXo8ySahXr9g+4mvVombY67Dio1X8beJkXnzhb4fts6hKM8CKgMbAURe0hIR6ZGZmAFAQdrnn+JrxZGdnk5OTQ424GsXGrc9w4sIvE10zvmZYXNwhcQctN6OY5YbFxx0mPhLrkLk1j4RTnGVUCbvO8/BuLegwYjHX3L+IYd2aowqPz/yEEZPeJytvN79szI7I8iMV74ccovU+8sM6eI33+llISEg4sFwN24Zhy42r4Sx30YJ5rFu3jpTUe3y1DbzGlxQX/j6Kq3H499EZJfURvh3javDhB/9m65YtPPPXJ3h/5Up+/unHkrqszKweHeU6ZG7fScJvTgKK1KNOl9Lh0Te45pE3GNbx0lB720anszJtQ8SWH6l4P+QQzfdRea9nXj8LZ4TXo4O2Qdhy3Xp0wYUX8eLk6RRoAevWrvXNNvAaH5l6lMD6zMxi+8gp8jpUqVKFmJgYYgOBg+Y9ElGN7n0JjhcRaQAsAX4CzgZmAfOA6UB1IAj0VNUtIjIDOAuoCYxS1VdF5D9ADWAtcJeqZpa0rGbNmuuHn64CnPM8Bw/sTyAQoGXrNry97C2mzphFelpa6HcaQ4bdT8NGjULxBQVKMBhkyH0DCMTGOnHLlzFl2kzS09MY9+xoAAYPHU7Dho0Y9ehIFi2Yz9Xtr2H02OeIjY0lLxhk6H0DiI2NpZUbP9mNH+/G3xcWv3jBfK4Kiw+/zn9Z1qH2zROoHluVcX3bsXvvPj5O30CH5meRMmY5t7U7jw7NzgLgva9+Zc573zO+bzuqVa3CN6u38NIb/z3oPlhlWX44r/F+yKGs8bm5eZ7eR1U8vg/8sA1ycvM8fRby8pz4QCBAy1ateWf5MiZNm8m3ReLz8/Pp1vkWrrv+j5xYvTpPPfNsKIfC+2CV122Yl5fH4EEDCARiadXKfR9Nn0l6WpH3UaNGPPbISBYtdN5HY9xtCLA9O5f7Bw8kNhDgilatefftZbw4ZQbfpqcxYdwYAAYOHsZFDZ1lr1u7hkn/eJ4/Pzmaq1pfzldfror+TWwixOrRca5Ht01x6lGvluzO38/H322iQ5N6pExYyW1tfkeHJs6R7Pf+s545K3+mbaPTufy8uoxe8g1w8H2wov0Z9kMO0apHXt+HfqhnXutRbm4ewwY79eiKlq155+1lTJrq1qOxbvyQ4dSufTLPjn6KAi0gpkoMT48ZF/oWq/A+WOX1fRSJerQ1K4cRQwcSG3ugHv1j8gy+S09jwni3Ht03jKrVqjFhnNNnw0YXc0+/QVx95eV8/eUXR6xHlW2A9TnwO2C3+/wj4BNVnSkidwONVXWIiJykqkER+Q2wUlUbiUgiUE9Vnyih/95Ab4D6Z57Z7MfVhx4tKK1I3IzPaw+lvZFaSexGw/5gNxo++HSgsojEPrK832g4Ettgj4cbZFbQAZbVo1LyXI/sRsO+YDca9l6PIrENy/uNhiNRj3bt3V/m2NIOsMr3Vj5636tqrqrmA2nAb3GKGu6/F4hIFeAxEfkAWIxz5PCIVPUlVW2uqs3rnFLnWORujDGm4rB6ZIwxFVRlG2BdICJxIlIVaAT8ArRyp7UCfgAuBS5R1TZAF6DwsOteoOpxztcYY0zFZPXIGGMqqMq2g14DTALOBWYAc4EZItIL2AncDeQB1URkJfA1sMON/RDoLyKNgP6quvE4526MMabiWIPVI2OMqZAqzQBLVdcAh97FFq4tpq192PNBbvxaDhxdNMYYY8rE6pExxlRsle0UQWOMMcYYY4w5ZmyAZYwxxhhjjDERUmlOESxP/HApUa+8Xma9dssh3nP4eKznPsq7ivBe8srrJpAq5f84lNdLA3u9TDZANQ+Xqhd7G0dNRdiHeL3Meu3Ww73n8OFoz32UdxXhveSV1y1Q3i+xDv64fUygWkzZl1/KglT+XyljjDHGGGOM8QkbYBljjDHGGGNMhNgAyxhjjDHGGGMixAZYxhhjjDHGGBMhNsA6xoLBIL2SetK3Typz57wcak9PSyOxx10k9riL9LQ038ZHM4fqgROY9NgdPD+yG7df1zTU3qVDYyaPuoOJD9/G+Q3qUvfkOCY80IUJD3Thx9ceocZJsRVmG/gl3g85RCI+NTmRvvekMq9IfNLd3Um6u3uF3QbBYJDeKYn0vzeV+XPD4tLTSO7ZneSe3UlPd+IG9O3DZU0v8XUOpmzK6/vXDzlUD1Rj0qO38fyDXbj92iah9i7XXMrkx25n4siuB+rRiE5MGNGJH5c+ZPXoGMT7IQcv+8HUlET63ZvKvCL7waSe3Ukqsh9scQz2xdGO98M2iGQOJVLVCvUAGgDvlHLegUXibg77ezrQpiw5NG3aTHflq+7KV50ybaYueuVV3ZWv2rlrt1B7UnIv3bAlSzdu3aEpvXqH2os+oh0frRwCzQdr0iOztdPgSRpoPlgXLv9SA80Ha6D5YF20/CuNu3yo1u/wiE595eNQe/0Oj+is1z4L/V3et4Gf4v2QQ1njd+4t0J17C3Ty1Bm6cMlS3bm3QDt36RZqT0xO0fWbt+uGLVma3Cs11F748MM6eI2fNHWGLli8VPP2FGinLt00b0+B5u1x1j1j03bN3JylSSmpofZbOnYOPc/bE5lt4CWHJk2babRri9Wj6MdHK4fAZcM06bE52mnIFA1cNkwXLv9KA5cN08Blw3TR219rXMv7tf61j+nUf34Saq9/7WM66/XPQ3+X923gp3g/5OBlP7hw8VIN7nHqUHBPgQbd/WDmpu26fnOWJqekhtpv7dg59DwYoX1xtOP9sA285FDaelTZv8EKv5Z4A+DmSC8gMzODevXqAxATc+CykNk52dSqVYv4+Hhy83J9Gx/NHBJOrUXGph0A7N9/4LKe42evYOzwTvTu0praNauH2nvc2ILZb3xeobaBX+L9kMOxis/JzgnF5+XmlRjv53U4UnxmZgb16hcTF77ueYdfdz/lUEFZPfLxfiihbjwZm7KBg297MP7llYwddiu9O7c6uB79sQWz31hVobaBX+L9kIOX/WCCux+sUkIdyj3G++Jox/thG0Qyh5JU1AHWySIyX0RWicggETlVRP4lIitF5E0RqSMidwIJIrJCREYCQ4A/un83C+9MRAaIyPsi8rGI9DqaRBIS6pGZmQFAQUFBqD2+ZjzZ2dnk5ORQI66Gb+OjmUPmph0k1K0FHHzfg1XfrmPgU4uY+68vQgMwgLbNz2Hlqp8r1DbwS7wfcjhW8TXja4bi42rElRjv53U4UnxCQj0yM4qJC1/3uMOvu59yKGesHkUoPpo5ZG7OJqFuPFC0Hv3KwKeXMPetLw+uR83OZuUXq8WB87MAACAASURBVCvUNvBLvB9y8LIfXO/uB7WEOlTjGO+Lox3vh20QyRxKIu7pBxWGiDQAPgd+B+x2n38EfKKqM0XkbqCxqg4RkZ9V9Rw3rh3QXVV7uX9PByYD24AxwI04A9L3gZtUdVuR5fYGegPUP/PMZj+uXgs453kOHtifQCBAy9ZteHvZW0ydMYv0tDTGjnkGgCHD7qdho0bFrk+046OVQ+2WQ6geOIFx93di9558Pv7mFzq0vICUx+ZwbasLueHKi4irHstDE15j07Zc2jY7h8svPovR098N9VF4o+Hyug38FO+HHMoaX7iPCwaDDB40gEAgllat2vD28mVMmT6T9LQ0xj3r3AR08NDhh8RL2E0Fy+s2yMnNY+h9A4iNjaVVa2fdJ0+bSXp6GuPddb9v6HAaNmzEqEdHsnjBfK5qfw2jxz5HbGzsQTcajkYO17Rrw5dfrCp3dym1ehTZ+GjlULv1cKoHqjFueEd279nn1qPzSRk1j2tbXcANbS4irvoJPDThDTZtz6Vts7O5vNFZjJ7xXqiPwhsNl9dt4Kd4P+RQ1vjc3DyG3DeAQGysE7d8GVPc/eBBdcjdDy5aMJ+rw/bFVSKwL452vB+2gZcc2peyHlXUAdYsVb3S/Xs28BtggKr+LCLnABNU9YZSFrTTgWeAte4iTnHn+7qkHJo1a64ffnroqQGm9Gq3HOK5j8IBlqncvO7jpJR3bfez8FOayiJ8gBWNHK5s2aI8D7CsHpVztVsP99xH4QDLVG4FHvfFVSKwL442P2wDLzm0KWU9qlrmJfjbBSISh3PEsBHOEcNWwM/uvz+48+0TkSqqWgDspfjt8R3wFdBZVVVEqqlq/jFfA2OMMRWB1SNjjKlkKuoAaw0wCTgXmAHMBWa456vvBO5251sEvCEi/wKmAWeLyCLg8cKOVDVNRN4BVorIfmCXiNysqvuO29oYY4wpr9Zg9cgYYyqVCjfAUtU1QItiJl1bzLwPF2m6Mux5Yth8LwAvRCA9Y4wxlYTVI2OMqZwq6lUEjTHGGGOMMea4swGWMcYYY4wxxkSIDbCMMcYYY4wxJkIq3G+wKoJIXDq/vF9aOhKXWK999WPecnjv8SPPZI65aN9KwuslZSH6l9aNxGXWvdq3v+DIM5Wggt1NpFzxeol/8Mf7z4vtHzzjuY/aN47zFJ/1+mDPORjv8veVfT8GUDXG22ehInweo10PAfZ52I6ljbRvsIwxxhhjjDEmQmyAZYwxxhhjjDERYgMsY4wxxhhjjIkQG2AdY8FgkF5JPenbJ5W5c14OtaenpZHY4y4Se9xFelpasXGpyYn0vSeVeUXiku7uTtLd3UNx/fv2oUWTSyK6/Ej2Ea346oFqTHqoI88Pv5nbO1wcau9ydUMmP9SRiSNu4fyzTkFE+Nuwm/h/9s49Luoq//+vA+qMxkXbymrUtd1aTahNUctbFy9Z9mu9IGaKwjAMKIKAt0q/alu720VFrTVLFBUrFTC12gq17O62mdtlxsoum8SgoAJz4868f3/MMAwISHwGP5+B9/Px+Dz4zOHzOud93udzznvOzGfO2bp8Kp5b/P8UVQel6OW0QWpf8IpeF40F8/XYs9tDbzRAGxUJbVQkjEanPikhHsOGNN0X5fSht/RS8rDb7Zin12JhQjyy9rzqTj9pNECvnQO9dg5OGg1wOBxISZyP+NhopCYltGgL89uQ0nZxumgkztdjb6M+EBMViZhGfWB4M32gM49DdfRQdUH64onYlDweM+8Z6E6ffuefsHXJRGxOnYABfa9UpA+UopfTBrvdjvjYaCQlxDXoCyeNBuiiI6GLjnSPY8mJ8xCni0JK0vwGeqnxyBt9UU4feksvJQ+73Y55rnbMatSOsdGRiG3UjvGN2rFVEFGnPQD0B3DE2/kOGRJG5dVE5dVE27ZnUs7+16m8mig8YoY7XRsTS2fOldDZ86Wki41zp5dXE5VVOWhrxk7Kfu0glVU5KHz6DCqrclBZlYOiY3RUUFRMZ86VUEys3p0+ZWq4+7ysyiGp/MaH1Dzk0mufzKFpj7xM6jGrKPvdb0g9ZhWpx6yinHe/oYC7H6e+Dz5DGW8cd6erx6yiV3O/pO53rib1mFWKqINS9HLaILUvSNWnZ+yk7H0HyV7p1NsrHWSvdOpNhcVUUFRCMTq9O33K1HD3ed0htw+VcB+8uHUH7c7eT6VlNTQ1PIJKy2qotKyG5kbr6JeC83T6zAWKjtG700vLamjGzFlUbKui2waHkdzxorPGI1ulsw9k7TtItkoHTZs+g2yVDrK5+kB+YTGZikpIq9O70ydPDXef27x4/8vVB7wxjqgnppF6Yhppn32bpq06QOqJaZT9/nfu9JwPvqeASRuo74zNlPH21+70ukNuHyhJL6cNL23bQXtzDpClvJamhUeQpbyWLOW1FKXVUd6ZC/Tr2WLS6vTudEt5Lc2YOYtK7dVkKa/1SjyS0he92R/l1kttxz05B8hcXktTwyPIXF5L5vJamqvV0ekzFyjvbDFF6/TudLOrHUvs1XTbkNbFI15FsJ0xmfIREur89sTf39+dbraY0bNnTwCA1WZttc5itrh1Nqut3cr3Zh5y6TVXB8P4cxEAoNZjBbMNez9FWsokFBbb0CuwOwBg4O+vxuLZo2G2VdS92VFEHZSil9MGqX3Bm3q/ZvRW26X7Yku2dIb7oMCUj0EhoRfpLB46m0v33bcnsSFtDYKDe8LPjx+08Bbe7oNmzz7Uij7QmcehOjRXBcD4v/MAGq4ItyHnONIS7kFhiR29AtQt5iH3OCC3Xk4bCkwmhIQ0FQ88dNb6cWz9umcbjGPtFc9+a19sMa9OcB+YTCYMCmmqHTzikUc7bmjUjq2BIxdwpRBirxDiuBAiWQjxuBAiEgCEEKOFEDtc52uFEMeEEEeFEA+1NnONpg9MpnwAgMNR/yY/OCgYZrMZFosFgQGBrdYFBQe5dQGBAe1WvjfzkEtvOmeG5uogAA2XBT3+rQkL172J3Ye+Rn6RGQDw3elz0P9jP4QQ6Nc7WDF1UIpeThuk9gVv6AvynXpqRh8YcOm+2JItneE+uF7TBwVNtYOHLsClG3jzILyYvh0OhwN5eadbtKeDodx4lN+EzrMPtaIPdOZxqA7TeRs0Vzmv8/PYTuX4qUIsfP5d7H73W+Sfa/lNpdzjgNx6OW24XqNp5j7w0AXWj2Mvbd0BBzmQd/p0i+X+pnjmhb4oxQdK0UvJQ6PRNB2PPNoxwKMdX2zUjq1BNPVpfWdBCNEfwOcA/gCgwnX+KYBPiehlIcRoALFEFC2EMAL4MxHVCCH8iKjZzRDCwobSJ58dB+B8zjN1YSLUajVGjBqNw7nvIGPnLhgNBqStde6tsWjJMoSEhrr1ROTUJSdBrVZh5MjROHwoF9t2ZMJoMGD9ujUAgNTFSxESGorVK1cgJ3svxo4bj7VpG6FSqdz7YLWl/MZIzUMuvWbS37A+5QFUVNXg2DenMWH4TdD9/TVMvOMmTBo5AAHdu2H55kPwEwJLI8dA+Ak4ah1Y8vw7IKIG+2D5qg+8pZfTBpvNJqkvSO1LNpsdi1KSoFapnHYfysW27ZkwGhvpQ0Lx+KoVyMly6te49ED9BF/udpTzPigutWBp6kKo1WrcMXIUjhzOxZZtO3HSaMDG9WsBAMmpS9Cr15VIW/sMyOGAn78/nl6ThrFjRuC/J47Lv3lKO6LUeFTrcMajxSlJUKlUGOnqA1tdfWCDqw+kePSBfVl7cY9HH/D30v3vjTzkislXPrgBgPM3WOsXjHXGJWMBJgztD92adzBxWH9Muv0Pzri09UMUlpQ1sNtzHyy5xwG59XLaUGq2YklqknMcG+Ecx9IzMnHSaMCGNFdfWLQUvXpdiXVrnoaDHPD388cza9fDz88PlRVlku4jq01aXwTgtf4ot15KHiVmK5amJkGlVmOEqx23uNpxo6sdk13tmObRjk+vXY97xtyB/35x6XjEEyxgFxGNcb1+GcAPAH5yBbQxAHSugPYggAgADgBriMjYKK84AHEA0Ldfv7BTP7X9U1dvtImvbzTsDXij4Y6B3GOUN4pXwsaKclNZXdtm7d2jbu8sEyzFxaOOsLGpVLwxBtVNsNoKbzSsDOTeaNgL3dHn+6M3qJLQjneNGt6qCRY/IggMFEIECCG6AKib4vZx/Q0DAOGcrRwhorkAtgJ4onEmRLSFiIYS0dCrr7r6ctjNMAzDdCw4HjEMw3QAeJEL4BcA6QBuArATwKsAXnd9Wvg/1zVdALzt+lZIjSYCGsMwDMNI5BdwPGIYhvF5OvUEi4h+ATCsiX/d3kTa3e1qDMMwDNNp4XjEMAzTceBHBBmGYRiGYRiGYbwET7AYhmEYhmEYhmG8BE+wGIZhGIZhGIZhvESn/g2WUuEl1r2D1GXWe92RIq38f0tblpdxIn9/6LxbWXiTLv5t/zxP9lugE8NLOntnDJK6zHqvOx+TVv6HT0nSK4GaWqlLpEv/TqFrF3m/lxCdeGslb9JFwrjWWiV/g8UwDMMwDMMwDOMleILFMAzDMAzDMAzjJXiCxTAMwzAMwzAM4yV4gtXO2O12xGqjkBCvx+5XX3GnGw0GRM+Zjeg5s2E0GBSrV4INcul7qLsh/fFZ2LTiIcy8L8ydPn3CYGz962xsXjkTA/r3xjVXBuC5xyLw3GMROPXmagReoVJMHbylV4INcuntdjv0MdFImKfHnkY67dxIaOdGunWJCfEYNvhWxdXBW3opedjtdsTpopE4X4+9uz10RgNioiIRExUJo9GpS0qIx/AhzfuRaRty3z88DkmJR12R/n8R2PToVMy89zZ3+vRxt2DryghsfmwaBvz+agDA3AfCkJb6IFbHTVBUHaTq68eQuAZjyEmjAbqoSOiiInHSaMCpU99jfpwO8/QxSFv7rKLq4A0f6HXRWDBfjz2NxlFtVCS0jcbRYS2Mo77qA2/k4U0/NgsR8eHlY8iQMCqvJiqvJtq2PZNy9r9O5dVE4REz3OnamFg6c66Ezp4vJV1snDu98SG3Xgk2yKXXrtxF01K2kDosmbJzT5A6LJnUYcmUc+gEBQxPpb7jV1DG/k/d6X3Hr6Bdb3zmfq2EOvB9IF2/NWMnZb92kMqqHBQ+fQaVVTmorMpB0TE6KigqpjPnSigmVu9OnzI13H1ed8hdByXcB+kZOylr30GyVTpo2vQZZKt0kK3S6cf8wmIyFZWQVqd3p0+eGu4+HzwkjOQe13314HjUMfTav+6laUt2kHrEo5R9+CtSj3iU1CMepZwjX1HA6OXUd9KTlHHwP9R30pN06N/f05rMo5S85oD7OiXUQap+y7YdtHffAbJW1NK06RFkragla0UtRWl19OvZC5RfWExand6dbq2opQcnT3GfK6EO3hhHs/cdJHulMx7ZKx1kd42jpsJiKigqoRid3p0+ZWq4+7zukLsOShgPpPixtfGIv8FqZ0ymfPTp0xcA4O/v7043W8zo2bMngoODYbVZFatXgg1y6TXX9ER+YSkAoNZRv3rRhpePIm1ZOOIiRqNXUA93+pwHh+PlNz9XVB28pVeCDXLpm9NZzBa3zma1NVuuEurgLb2UPEymfPTp24TO04+21vmRaRty3z88DkmIR1cHIb/IDKBRPHr1I6Qt+gvipt2BXoHdccP1V6LEUo6Vm3PR79qeuEFzpWLqIFVvMpnqdX4eY7GHzmat1+Vk7cG48U1/i+e7PsiHxjWO+jUTj6ytHEd91QfeyMObfmwOnmC1ASGE/6WvcqLR9IHJlA8AcHgMisFBwTCbzbBYLAgMCFSsXgk2yKU3FZVCc00wAMDPY0nP48Y8LHwqG7vfOo78s6Xu9DvDbsIHx39QVB28pVeCDXLpm9MFBQe5dQGBAc2Wq4Q6eEsvJQ+Npg9M+U3oPP0Y0Do/MvVwPPKtOrQ5Hp2zQHN1E/Ho23wsXHMAu9/5EvlFZhScs6DYUgYAKLVVIKB7N8XUQapeo9HU68hjLPbQBQQ6dTlZe5CXlwedfp6i6iDdB31Q4BpHqZl4FNjKcdRXfeCNPLzpx+YQRLymvhDiGQB3AqgA8CKAOAD+ALoC0BLRKSHEDtf/+wBYS0TvN5dfWNhQ+uSz4wCcz3mmLkyEWq3GiFGjcTj3HWTs3AWjweB+NnjRkmUICQ1tMi+59UqwQS695u5lWL8sHBVVNTj25c+YMHIgdKtewcRRN2PSmFAE9OiG5RtfR+EFK+4MuxG339ofa7Yfces998HyVR8oyQa59DabDanJSVCrVRg5cjQOH8rFth2ZMBoMWL9uDQAgdfFShISGYvXKFcjJ3oux48ZjbdpGqFTO3+PV7aPjqz7wRh4Wqw2LU5KgUqkwcpTTj1u3Z8JoNGCDy48pi5ciJCQUj69agX1Ze3HPuPFYk7YR4+8ejRNfHO8UGzJxPOJxqMl4dO8qrF/8F1RU1uDY16cx4Y4/QfdEFiaOGIBJowYioIcKy//5FgqLbViln4ArundDV38/LFr/BoCG+2D5qg/MFisWpyQ5dSNH4cihXKRvz8TJRmNIdXU1ZoRPxn33P4DuPXrg6WfXAWi4D5av+sBqtWFRShLUKpVTdygX21zjaIN45BpHc7Kc8WiNRzyqm6D7qg/k9uO4VsajTj/BEkJMAhAJYDYRkRBCBYCIqEoIcT+ACCKKcQW074moyd36hBBxcAZC9O3XL+zUT6cvUw2Y9oI3GmYA5+9UpSL/ZsnyU+toux/HjBjWKSZYHI+Y5uCNhpWx0bDcOCSMo3X48ebhkvw4upXxqEubS+g4hAI4SvXvooIAbBJCXAugGwDPhzc/bS4TItoCYAvg/MSwnWxlGIZhOi4cjxiGYToAvj+dl44BwF0er+cC+C8R3QngCQCes9Tay2kYwzAM06ngeMQwDNMB6PQTLCJ6C0CBEOKYEOI9ADUAZgoh3gYwVl7rGIZhmM4CxyOGYZiOAT8iCICIljVK2tjENdGXxxqGYRims8LxiGEYxvfp9N9gMQzDMAzDMAzDeAueYDEMwzAMwzAMw3gJfkSQYZrh/KfrJemT9xsl27BxaogkvZSlsYGGv6hvC0pYDlZuHwCA1FXaC0rKJemv79Vdkt4bSwN/cOpcm7XWihrJ5TOML3Pu6N8l6cNWH5Jswxd/vVeSXvJY3AG2u5C61LyfAnxgr5Q2Hl+hkjb18MbWKfnFbY+pVTWta0P+BothGIZhGIZhGMZL8ASLYRiGYRiGYRjGS/AEi2EYhmEYhmEYxkvwBKudsdvtiNVGISFej92vvuJONxoMiJ4zG9FzZsNoMChWrwQb5NLb7XbE6aKROF+Pvbs9dEYDYqIiERMVCaPRqUtKiMfwIbdelEc3f4HoYRpEhl2P4f2C3en/b9DV0N/RB7OGXIdgdReou/hh7tDrseiu/oqqg91uh14XjQXz9djTSK+NioS2kX5YEz6QWgf2AVBmt2NJoh6PLUrAwZw97vSjR95BzMNTkLltMwDg5x9P4ZHkeCxbGIeXnlvnVR96ywcVZXakrUjCc48vwtE3c9zpx959C/98YilWJ8zGd18db1bPtB1fHYuVZIP841hcg3HspNEAXVQkdFGROGk04NSp7zE/Tod5+hikrX22QR7du/rjH+Gh+OuUQXjgz9e606eFabBq8s14Ye5gpNx7IwBg9eSbsT9pRDvVoe1jcWv0p77/HvPjYlw+eMardfCeD9rWjkqIR3a7HQvitEhJjEf23lfd6d8aDYiPmYP4mDn41mXD0FsGYPHCBOzMSPdq+fqYaCTM02NPI512biS0cyPdusSEeAwbfLEPysrseGShHv+3eAFe31cfUz949x3oZ0/FyxkvutPG3xGKVcsWYu+ujKYd2RxExIeXjyFDwqi8mqi8mmjb9kzK2f86lVcThUfMcKdrY2LpzLkSOnu+lHSxce70xofceiXYIJc+PWMnZe07SLZKB02bPoNslQ6yVTooOkZH+YXFZCoqIa1O706fPDXcfW6rdFBcloG2/ftX+udHv1BcloE+zyuluCwDxWUZ6MA3Z+nYLyX03qnztGCf0Z1+/Nf6a+KyDLLXIT1jJ2XvO0j2SgeFT59B9koH2V16U2ExFRSVUIxO706fMjXcfW6vdHSIdpTqA08/tLUOa/+5lbbsyqafispo0uRw+qmozH28sv8dWv3UugZpPxWV0b2T/uI+94YPpfrgX98U0r++KaTF//gnrXo+k/71TSGNmfgXd3rd8VzWEYpZtKpB2o2D/kxyj+u+enA86hj6Ldt20N59B8haUUvTpkeQtaKWrBW1FKXV0a9nL1B+YTFpdXp3urWilh6cPMV9Pmh5Lj2S9TUlZJ6gQctz6a2vztCg5bkNjp0f/0KT0j5yv8795myD/ythLP4telulgx6cPNV93hHaUQnx6IX07fRy1n46b6umydMi6Lytms7bqikyOoZ+yj9HP5vO01xtLJ23VVNI6C300KxI2vPaG+7rpJa/NWMnZb92kMqqnD4oq3JQWZXTBwVFxXTmXAnFxOrd6VOmhrvP645nnkunzTuz6fszdrr/L+H0/Rm7+8jc9zat/Ps69+sBg0JpSsQs2vLya/T9GTuF3Dq4VfGIVxFsJUKIKQBOEFHeb9GZTPkICb0FAODv7+9ON1vM6NmzJwDAarMqVq8EG+TSN6szW9w6m83WbLkA0KtHV5jOVAIAHFS/8s3b354HAbj1ukCMvqEXjv5Y3GI+ctXBU+/nobd46K2X8IHUOkjVdwQfnD1jwoCbQy7SNccb+7Mx5u5xXivfmz44X1iA3990szMvv4Z1eW3nZvzn/UOY95i0FdM6OhyPfLcObe+DpnqdR7+xeOhs1npdTtYejBs/oUEevYPU+KHwPICG8QgAunXxg6ZXd/xyvqxZ26XXwXtjcWv02U34QGodpOqltqMS4lGByYSbQ0Iv0lnNFgQ3aoejnx4HEeHh8L9g/L33eaX85nSePrBZW/ZBYYOY2vLDfAcOHwMRIS5yGu4aN7HFaz3hRwRbzxQA/X6rSKPpA5MpHwDgcNQv7RgcFAyz2QyLxYLAgEDF6pVgg1x6jaYPTPlN6IKD3LqAgIBmywWAkrJq9Orh/BxDeCz4XRfarJU1UHe5dDeUqw4aTR8UuPTkoQ/y0AdewgdS6yBV3xF8cO11Gpw9Y7pI1xRv7M9Gwa95mBWt91r53vTBVb2vx4XCAmde1LAu06Lm49G1W7A/86VW5dWJ4Xjko3Voex/U1Os8+k2Qhy4g0KnLydqDvLw86PTzGuRRaKlA7yAVgIu3jrg3pDeOGAubtds7dZA+FrdWn521B7/mnUZs3Lzm8/LBdlRCPLpeo0GB6eJ4FBgcBIvZDKtHO/j5+cHf3x8qtfqi2CXpPmpC5+mDgMCWfdD7Og3Onilw5dHysu/uOqgurkNLCCLp68n7OkKIZwDcCaACwIsA4gD4A+gKQAvnfmHvATgD4Eciimgpv7CwofTJZ87fENjtdqQuTIRarcaIUaNxOPcdZOzcBaPB4H6udtGSZQgJDW0yL7n1SrBBLr3FasPilCSoVCqMHDUahw/lYuv2TBiNBmxYtwYAkLJ4KUJCQvH4qhXYl7UX94wbjzVpG6FSqbDo4El08xd4ePB1qHYQfjxfhpBrA7D9PybcP/Aq9OrRFQHd/LHny7OwVNRg1pDrMKh3AP5rsmDf185AV7cPllx1KLPbsSglCWqVylnuoVxsc+nXu/SpHvqcrL0Y66H33AfLV9tRqg+A+v3A2lqHH/PP4/HHUqFSqTH09pH48L3DWPfCNpz4/DO8+NwamEtLoY1LRN/+/REXOR33TLgf3bv3wIonnb8/qNsHq63lW602yT5437UPVkWZHZv/sRzdVCoMGjwcX3xyFEue2oTcfS/j5++NKLNZMTE8EqFhd7jLT37oXvxg/FL+DWAuAxyPOB41pTdbrFickuTUjRyFI4dykb49EycbjWPV1dWYET4Z993/ALr36IGnn3X+FvP2J46ge1d/rHhwICprHDhxugSjb7oKj+U4f6vyfORtWLLna1S69vhZOOFG3H/LtTj20wU89eZ3qK4l9z5Yco3Fdru9Vfqa6mpETPsL7rv/AfTo0QNPr0kDAPgrIB5JbcfysjLZ41FRsRmPLl4IlUqN20eOwnuHc7F56058azTg+Q1rAQBJKUvQpWtXPL/eadOg0Fswb0EygPp9sNpavs1mQ2pyEtRqFUaOdPlgRyaMhkY+CA3F6pUrkJPt9MFaDx98/+t5PLl8Ebqp1AgbPgIfHT2MNf/chv8e/wwvPb8WltJSROkX4KaBg5C+yXn/DLg5FNFxiZg2cTQMX524ZDzq9BMsIcQkAJEAZhMRCSFUAIiIqoQQ9wOIIKIYIcQOAFuJ6ONm8omDMxCib79+Yad+On2ZasC0F1I3RVx08KRkG3ijYenI7QNAuh86wkbD70vYaLizTLA4HjHNIXWD2tufOCLZBrk3GpaKvwLikRI2GpYajzrCRsO/Xmh7TG3tBIt/gwWEAjhK9S0WBGCTEOJaAN0AtPxAuAsi2gJgC+D8xLA9DGUYhmE6NByPGIZhOgD8GyzAAOAuj9dzAfyXiO4E8ATqP8CuAk9IGYZhmPaD4xHDMEwHoNNPsIjoLQAFQohjQoj3ANQAmCmEeBvAWI9L3wTwhBCCf33NMAzDeB2ORwzDMB0D/gQMABEta5S0sYlrXgfw+uWxiGEYhumMcDxiGIbxfTr9N1gMwzAMwzAMwzDegidYDMMwDMMwDMMwXoInWAzDMAzDMAzDMF6Cf4PFMM0gdc8MqXtYAUCvYYmS9CWf/1OyDb6OEvY+kbr/i9R9rKTijf3Mxg68ps3aIDWHKqZz08Vf2ufhUvewAjgeeQOp7agEpO5jJRXhhb3A+l3Vo81aVZfWtaHvtzTDMAzDMAzDMIxC4AkWwzAMwzAMwzCMl+AJFsMwDMMwDMMwjJdodoIlhNgshHiht4K0SAAAIABJREFUqeNyGujr2O12xGqjkBCvx+5XX3GnGw0GRM+Zjeg5s2E0GBSrV4INcuvltKGHuhvSn5iDTSsfxsz7h7rTp987BFufnIPNq2dhwA294ecnkPG3udi08mGkPzHnomeUfdkHStFLycNutyNOF43E+Xrs3e2hMxoQExWJmKhIGI1OXVJCPIYPubXD+UCKPi/vNDgeSUfu+8dX7z8l6ZVgQ3/N77B59Sy8ukbXIH3QH6/D9r9HYfvfozDoj9d1aB/IrVeCDXLrlWJDsxBRkweAcc0dzWl84QDQH8CR33D9K7+1jCFDwqi8mqi8mmjb9kzK2f86lVcThUfMcKdrY2LpzLkSOnu+lHSxce70xofceiXYILdeThu0K3bQtIWbSX3bAsp+5zipb1tA6tsWUE7uFxQwNIn63vMIZbz2CfUevYReyvqQ1LctoJeyPqTr7lxK6tsWdAgfKEUvJY/0jJ2Ute8g2SodNG36DLJVOshW6aDoGB3lFxaTqaiEtDq9O33y1HD3ua3S0SF8IEV/4403EccjjkdKsEFuvZw21MWfuuO1wycavN6272PqPXoJXTN6MaVnf3TR9R3BB0rRK8EGufVy2TBkSBi1ZuxtdikQInq37lwIMQDA7wEcBvC7tk3lfBMimt04TQjhT0S1rdGbTPkICb0FAODv7+9ON1vM6NmzJwDAarMqVq8EG+TWy2mDpncvGH8oANBwJboNme8i7ZEZKDxvQa+gHrDYK6Dq2gWvPTcPZ89bUGIp6zA+UIpeSh7N6swWt85ms7VYtjfq4Kv3QVBQkDsmcTxqCMcj36pDR/BBcwQHdIfZVg4ACLxC3a7ly+0DufVKsEFuvVJsaI5L/gZLCPEYgGcBPO1KerlNJcmIEOIZIcQxIcRRABMB9BJCvCyEOCGESHFdc48Q4qgQ4iMhxEEhhNqV/qPr791CiFwhRDaAv7e2bI2mD0ymfACAw+FwpwcHBcNsNsNisSAwIFCxeiXYILdeThtMhSXQ9O4FoOFS2ceNp7Hw73uw+63/IP9sCQbf3Benz1zAtIUv4hfTBdz6J02H8YFS9FLy0Gj6wJTfhC44yK0LCAhosWxv1MHX7wOORxyP5LZBbr1SbGgKs60cQQFqBF6hhtVe0a7ly+0DufVKsEFuvVJsaA7heuyg+QuE+JCI7hRCHCWie4QQ7xHR2DaVJgNCiEkAIgHMJiISQvwRwEcAbgTgAPAtEd0ghLiCiOwuzTMAjESUKYT4kYhuFELcDeB5AEOIqLqJcuIAxAFA3379wk79dBqA8/nO1IWJUKvVGDFqNA7nvoOMnbtgNBiQtvZZAMCiJcsQEhrapP1y65Vgg9x6OW3QjFmE9Y/OQEVVNY799ydMGDkIupWZmDh6ECbdeQsCuquwfMN+WOwVeHH1bJRYynBVzwDErX4ZZRVV7n1HfNkHStFLycNitWFxShJUKhVGjhqNw4dysXV7JoxGAzasWwMASFm8FCEhoXh81Qrsy9qLe8aNx5q0jVCpVO69vHzZB1L0o24fii++OC44HnE8ktsGufVy2lC3D9aVwVfg8cQHMe72Adh+4BhuvuFa6FZmYtAfr8Oi6PEAgLQdR3DypzMN9ByPvKdXgg1y6+WyoS4eNWuUi9ZMsD4CcDecj2OMA3CUiO6+VMZKQQixDEAJEaW7XvcHsI2Ixrle1wWs4QD+BkAFoDeAXUT090YBLYqItJcqMyxsKH3y2fH2qRDTqeCNHTsGUjcaVsJmyXLiMcHieMTxiJEJjkcM0/oJVmuWaf8nnJ+wDQDwHoBNEm273BgA3OXx2g9AU+92VgBYTUR3AXgdQFPOa9Vz7gzDMEy7wPGoHo5HDMMwCqXZRS7qIKK9QogjAG4C8BMRnWt/s7wHEb3lel79GIByAHubuXQPgG1CiO8BmAFYLpeNDMMwzKXheMQwDMP4ApecYAkhrgawFM5PDE8JIdYSUWG7W+ZFiGhZo6SXPP53o+vvbgC7m9DW/f99AO+3m5EMwzBMi3A84njEMAzjC7TmEcG9cD7WsAzA13B+ssYwDMMwlxuORwzDMIziueQ3WACqiCjTdf69EOKifTgYhmEY5jLA8YhhGIZRPM1OsFyrGAFAgRBiMYD/ABgK4H+XwzCGYRiGAZxL6bpiEscjhmEYRvG09A1Wksf5ba6DYVpFeZW0Ba66d/O/9EUKp6Ja+iJfUpe1vXJmhiR98Z4YSXol4JC4RLqfF5ZI7+zLrAOAvaKmzdqioiKgPiZxPGJ+E1U1jktf1ALdurTm1xTKplIB8ajX/1svrfw3UyXplcCltka6FEJwLPEG1RLGhNa2YLMTLCKa0+bSGYZhGMZL9OvfH8XFFzgmMQzDMD5Ba1YR/AOcPyjuC9deHEQ0qZ3tYhiGYZgGcDxiGIZhfIHWfO+9A8CbAH4HYDOAk+1pEMMwDMM0ww5wPGIYhmEUTmsmWDVE9CaACiJ6A8DAdrapQ2G32xGrjUJCvB67X33FnW40GBA9Zzai58yG0WBQrF5KHna7HQl6LZIXxCN7z6vu9JNGA+K0cxCnnYOTxnrdooUJWPnY0g7ng/l6LZIT4pHVyAd67RzoG/kgNcm7Puih6oItiWOwad4oPDTmD+70iYP7YNeie7Br0T0Y9+frAQCGf07Hc3EjETN+gFd9ILfebrdDr4vGgvl67NntoTMaoI2KhDYqEkZXGyQlxGPYkFsVVwel6KXkYbfbsSBOi5TEeGTvre8L3540IF43B/G6Ofj2pFM39NYBWJycgJ0Z6Y2z4XgkAbnvH7nvv3mx0UhKiEOWxzhw0mhAbHQkYqMjcdJogMPhQHLiPMTropCSNL/j+UCvxcJLxCOHw4GUxPmIj41GalKC1+vQQ9UF6YsnYlPyeMy8p74LT7/zT9i6ZCI2p07AgL5XtosP5Nbb7XboY6KRME+PPY102rmR0M6NdOsSE+IxbDDHo5aQ0g7xrvFgb6PxQBcdCZ1rPPjh1PdIiNdhflwM1q99tkVbLoKIWjwAHAHgDyALwGIAX11K09mPIUPCqLyaqLyaaNv2TMrZ/zqVVxOFR8xwp2tjYunMuRI6e76UdLFx7vTGh9z6tuZRbK+hzek76NXs/VRsr6Ep4RFUbK+hYnsNzYnW0f9M5+mXggsUFaOnYnsNbX95L218YQstWJhKxfaaDuGDkrIa2rzV6YOSshqaGh5BJWU1VFJWQ3OjdfRLwXn65YzTByVlNbTjlb303AtbKDE51X2d1DrEbHyfwv9xiLqHb6Psj3+i7uHbqHv4Nko78DXdqN9NN+hepeffMFD38G301f8u0K6jp2jy33Ld1ympHdqqT8/YSdn7DpK90kHh02eQvdJB9koHRcfoyFRYTAVFJRSj07vTp0wNd5/bKx2KqINS9FLyeGHLdnp57346b62mydMi6Ly1ms5bqykyKoZ++vUc/Zx/nuZqY+m8tZpCQm+hhx6OpD373qDz1mr68+AhxPGI41Fb8zCX19JL23bQnpwDZC6vpanhEWQuryVzeS3N1ero9JkLlHe2mKJ1ene6ubyWZsycRSX26g7hg9KyGnpx6w7anb2fSl3xqLSshko94tHpMxcoOkbvTi8tq6EZM2dRsa2KSr0Qj9QT00g9MY20z75N01YdIPXENMp+/zt3es4H31PApA3Ud8Zmynj7a3d63aGkdmirfmvGTsp+7SCVVTnjUVmVg8qqnPGooKiYzpwroZhYvTt9ytRw93lZFccjb+Xx0rYdtDfnAFnKa2laeARZymvJUl5LUVod5Z25QL+eLSatTu9Ot5TX0oN/mUKW8loaPCSMWjP2tuYbrFlwPuue6Pob+dumcJ0bkykfffr0BQD4+9evjGe2mNGzZ08EBwfDarMqVi8ljwJTPjQal86vXmexmBHcsyeCgoNhs1pRVFiIb776L+66e2yH9EGdzs//Yh8EBwfDZnP64Osv/4u77vGuDzS/uwL5F+wAgFqP1fRyPvkZLy8eiz3LxiHz6CkAwIilBzDvhY+xYNIgr9ogt95kyoembxNtYLZ46GzNlquEOihFLyWPApMJmj59LtJZLZb68cDVDkc/OY7nNm/Fls3PN86G45EE5L5/5Lz/TCYTNE3oLOZ6nc3q1H337UnMi41GcHBP+Pn5NcrHd31QYMpv2gceOpvNwwd6bbv4QHNVAPLPOf/vGZc25BxHWsI9iHvwz+gVoG4XH8itb07nGY9sVo5HlyceNfW+wENnrdflZO3B2PETWrSlMc1OsIQQ1wghrnG9rPuuNhNA4W8qQYEIIZ4RQhwTQhwVQkwUQrwkhPhYCPGpEGK4EEIlhPi369okj/Olv3VjS42mD0ymfACAw1G/LGRwUDDMZjMsFgsCAwIVq5eSx/WaPigocOmoXhcUFAyLSxcQGIhPPv4Q586dw7NP/Q0ff/gBfvzhVIfyQVO6IA9dQIDTB+fPncOz//gbPvrAez4wXbBD87srADRcbnzJ1Ftx7+q3MGHVW1g8xfkIApFzSfOK6lo0tRKs3O3QVr1G0wcF+U4debZBcJCHLqDZcpVQB6XopeRxvUaDApPpIl1gUBAsZjOsFgsCXO3g5+cHf39/qFRqOBwOVFdXo6PGI+DyxSS57x857z+NRoOCpsbiYI+xONCpG3jzILy4dQcc5EDe6dMdxgfXa/o07YNG8cjtg/TtcDgcyMvzrg9M523QXOXq6x7B5vipQix8/l3sfvdb9wTM2z6QW9+czjMeBQRyPLoc8ajpdvDQucaDnKw9+DUvDzr9vBZtaYxwPXZx8T+E+AjO5d4bv9UiIrrzN5WiIIQQk+D81HM2EZEQIhzAA0QU41qhag8RDRdCHAbwMIAXAKgBzAGwG4COiM60VEZY2FD65LPjAJzPeaYuTIRarcaIUaNxOPcdZOzcBaPBgDTX85yLlixDSGhok3nJrW9rHuVVtbDb7Vi2aCHUajXuGDEK7x7OxYvbduKk0YDn168FACSlLsGgEKcu7/QvSH9xE558ak2DfbB81QcV1S4fpC6ESq3GHSOdPnjJ5YPnXD5Y2IwPAEDd1V9SHfpEZWK97g5UVNfi0+8KMeG2Poh9/kPMGP0HTBjs/Dbh6NcF+PyHIvdE65vTxdj0L+faAZ77YMndDm3VW602LEpJglqlcuoO5WLb9kwYjQasX+f0c+ripQgJCcXjq1YgJ2svxo4bjzVpG6FSqRpMTH3VB97SS8mj6IIZjy529oXbR4zCe0dysTl9J749acDzG1zjQcoSdOnSFc+vd7bLoNBbMG9BMn5/bU/Y7faP0MHiEdD+MYnjkXMfLLvdjqWpSVCp1RgxYhSOHM7FloxMnDQasDHNeb8lL1qKXr2uRNqap+EgB/z9/PH02vVQd+siqXwl+KDSFY+Wprpi8kiXD1zxaKMrHiWnLnH6YO0zIIcDfv7+eHpNGvz8/KCSGI/q9sHqoeqC9QvGoqKqBseMBZgwtD90a97BxGH9Men2PyCgezcs3/ohCkvKGug998GSux3aqrfZbEhNToJarcLIka54tCMTRkOjeBQaitUrVyAn2xmP1rrikec+WL7qA2/ppeRRarZiSWqS+/3pkcO5SHeNBxtc40HKoqWorq7GQ+GTcd+kB9C9ew889ew63DVqOE58cfySG5I1O8HqqAghlgEoIaJ01+tHAFwgoq2u1z8Q0U1CiOUAfgYwG8AbAM4DeIyIhjWTbxyAOADo269f2KmfTjd1WaeBNxr2zkbDdROstsIbDStjo2FG2kbD4+68HV+e+KJDNkR7xCSORw3hjYa9s9GwSmI84o2GeaNhpSBlo+HWTrB8f9T47RgA3OXx+gcAIwH3HiulrvT3AKQC+NJ1/giAz5vLlIi2ENFQIhp69VVXt4fdDMMwTMfD6zGJ4xHDMIy8dLoJFhG9BaDA9bz7ewDsAGqFEB8DeAVAkuvSz+FcAvg9IvoRwLVwBjWGYRiG8QockxiGYToeXS59SceDiJY1Sspt4ppaAMEer3/f3nYxDMMwnQ+OSQzDMB2LS36DJYQYIoT4QAhxQgjRRQjxj8thGMMwDMN4wvGIYRiG8QVa84jgegAPATATUQ2AO9rXJIZhGIZpEo5HDMMwjOJpzQSrmojOwrlkO8MwDMPIBccjhmEYRvG05jdYp4UQiwAECSEWAPixnW1iOgAdYZl1qUhdYt0bSF1mvdeopZL0JZ+skaT3BrzMujKQstS1x2akHI+Y30xHWGZdKlKXWPcGUpdZ73VHirTy/71Bkt4b8DLrysD/MrwvaM2oMw9AJYDjrusXtKtFDMMwDNM0HI8YhmEYxXPJb7CIqBrApstgC8MwDMM0C8cjhmEYxhe45ARLCPEDnM+7CwDXASgioj+0t2EMwzAM4wnHI4ZhGMYXuOQjgkR0ExH9iYhuAvAnAAfb36yOg91uR6w2Cgnxeux+9RV3utFgQPSc2YieMxtGg0GxeiXYILdeCTbIpe+h7or0VQ9h02PTMXPiYHf69PF/xtbVM7F5RQQG9L8GADD3wWFIWzwZq+MnKqoO3tIrwQa59VLysNvtiI+NRlJCHPburtedNBqgi46ELjoSJ40GOBwOJCfOQ5wuCilJ8xvkwfFIGnLfP9wH2QdS9D3U3ZD++CxsWvEQZt4X5k6fPmEwtv51NjavnIkB/XvDz08g44lIbFrxENIfn9Xk75581QdKskFuvZQ87HY79LpoLJivxx6PeGQ0GqCNioQ2KhJGo1OXlBCPYUNubdGOJiGi33QA+OS3ajrbMWRIGJVXE5VXE23bnkk5+1+n8mqi8IgZ7nRtTCydOVdCZ8+Xki42zp3e+JBbrwQb5NYrwQa59NrVr9K0RdtIPXwJZR/6L6mHLyH18CWUc/hLChixjPpOXE0ZB/5NfSeupkPHvqM1O96l5Gdfc1+nhDrwfaAMH7y0bQftzTlAlvJamhYeQZbyWrKU11KUVkd5Zy7Qr2eLSavTu9Mt5bU0Y+YsKrVX0+AhYcTxiOOREmyQW68EG2SLRyt30bSULaQOS6bs3BOkDksmdVgy5Rw6QQHDU6nv+BWUsf9T6n3Xo/RS9sekDkuml7I/puvueYzUYcmKqAPfB8rwQXrGTsred5DslQ4Knz6D7JUOslc6KDpGR6bCYiooKqEYnd6dPmVquPu8uXjU+GjNRsNvCyHech1fAfj8t0/j5EEI0VMIMfcS11y0CpUQ4m4hxFZv2GAy5aNPn74AAH//+lV8zBYzevbsieDgYFhtVsXqlWCD3Hol2CCXXnNNMPILzQCAWkf9ytgbXvkAaUumIC58JHoF9cANmt+hxFKGlS+8jX7X9sINmt8ppg7e0ivBBrn1UvIoMJmgcen8PHQWs4fO6tR99+1JxMdGIzi4J/z86sMUxyNpyH3/cB9kH0jRa67pifzCUgBArcPhTt/w8lGkLQtHXMRo9ArqAYu9AqpuXfDaBj26dvFDiaVMMXXwll4JNsitl5KHyZQPTd+m4pHFQ2drsexL0eIESzi/V00GkAQgEcDdRCRtnczLS08ALQa09kaj6QOTKR8A4PAYEIKDgmE2m2GxWBAYEKhYvRJskFuvBBvk0puKzNBcEwyg4XLnx0/+ioXPvIbd75xAfmEpCorMKLaUAwBKreUI6NFNMXXwll4JNsitl5LH9RpNk7qgYA9doFM38OZBeGnrDjjIgbzTpwFwPPIGct8/3AfZB1L0pqLSpuORMQ8Ln8rG7reOI/9sKQYP7IPTBcWYlpKOXwqKceufNIqpg7f0SrBBbr2UPDSaPijId+qoQTwK8tAFtFj2pRCuxyyav0CId4joPkmlyIQQ4jkAcwB8BSAdQCwANQAjAD0RkRAiD8C7AAYC+IiIlgkh7gYQSUSxQohbAKyHczJ6HkAUEZW3VG5Y2FD65LPjAJzPeaYuTIRarcaIUaNxOPcdZOzcBaPBgLS1zwIAFi1ZhpDQ0CbzkluvBBvk1ivBBrn0mnHLsX7pVFRU1uDYV//DhBEDoHt8DyaOHIhJowchoEc3LH/uXygstmJV/ERcoe6Grl38sGid86cxnvtg+aoPlGSD3HopeZSarViSmgS1Wo07RozCkcO5SM/IxEmjARvSnPdJyqKl6NXrSqxb8zQc5IC/nz+eWbse94y5Aye+OC44HnE8ktsGufVKsEG2eHT3MqxfFo6Kqhoc+/JnTBg5ELpVr2DiqJsxaUyoMx5tfB0WWwVeXPUwSixluKrnFYj7626UVVQ12AfLV32gJBvk1kvJw2q1YVFKEtQqlVN3KBfbtmfCaDRg/TpnPEpdvBQhIaF4fNUK5GTtxdhx47EmbSPG3T0aJ744fsmNtFozwVoD4N8APgVQCwBEVHSpjJWAEKI/gK1ENF4IcQUR2V3pewFsIqIPhRDVAP4I4FcAuQCWwflJY11A+9B1nieESAZQS0T/bKKsOABxANC3X7+wUz+dvgw1ZJj2pSNsNMwog+oax6Uvaoa7Rg2vm2BxPOJ4xHRSOsJGw4wycDhanvu0xOgRw1o1wWp2mXYhxDQieg3AHa6j7s4mAHe22TL5uFMIsRSAP4DfA3jdlX6WiPIAQAjxHwADABR66EIAZLpWoVEDONJU5kS0BcAWwPmJYXtUgGEYpjNSWlJSd8rxiOMRwzCM4mlpH6xEAK8R0ZjLZUw7UIX6Oj4N4D4iOuP6xLBu9tlbCNGHiPIBDAXwGoAgjzwMAB4mojMAIIS4+MclDMMwTLtx7tw5AADHI45HDMMwvkBLEyyVEOI61A/8boiooP1M8ipnAZQLIfYByARwWAjxXaNrzgBY5Xq2/VMiOuF65r2OBQB2CCG6ul4/BeBwO9vNMAzDuCBygOMRAI5HDMMwPkFLE6xBAF7BxQGNAIxtN4u8CBE5ANzvkbSuiWt+30Ta+wDed50bADS9cyrDMAzT7lRUVAAcjzgeMQzD+AgtTbC+JCKfCFwMwzBMx6V79+6wWq0cjxiGYRif4JIbDTMMwzAMwzAMwzCto6VvsCZfNisYhlEkUpdZl7qsLtAxltatqW37EuUA0MXf9z8L6+J/yVVtm+UPf7zRi5YwDOOLSI0FvYYnSbfhP89LzkNupCxRDjTc5NlXkVKH1iqbjdpEZGlz6QzDMAzjJfz9/eU2gWEYhmFaje9/LMowDMMwDMMwDKMQeILFMAzDMAzDMAzjJXiC1c7Y7XbEaqOQEK/H7ldfcacbDQZEz5mN6DmzYTQYFKtXgg1y65Vgg9x6KXn0UHdD+uOzsGnFQ5h5X5g7ffqEwdj619nYvHImBvTvjWuuDMBzj0XguccicOrN1Qi8QtVhfGC32xGni0bi/Djs3V2vO2k0QBcVCV1UJE4aDTh16nvMj9Nhnj4GaWuf9Xod5PaBPiYaCfP02NNIp50bCe3cSLcuMSEewwbf2qIdzG9H7vuHx2L2gdw+6KHuhvS/RmLT/z2MmfcPdadPv3cItj4xB5tXzcKAG3qju7orMv42FxsenYFHdBfvjODLPrDb7dDrorFgvh57POKR0WiANioS2qhIGI1OXVJCPIYNaXos9mUfeNOGZiEiPrx8DBkSRuXVROXVRNu2Z1LO/tepvJooPGKGO10bE0tnzpXQ2fOlpIuNc6c3PuTWK8EGufVKsEFufVvzUIclk3blLpqWsoXUYcmUnXuC1GHJpA5LppxDJyhgeCr1Hb+CMvZ/6k7vO34F7XrjM/drX/dBeTXRlm07aO++A2StqKVp0yPIWlFL1opaitLq6NezFyi/sJi0Or073VpRSw9OnuI+7wg+2Jqxk7JfO0hlVQ4Knz6DyqocVFbloOgYHRUUFdOZcyUUE6t3p0+ZGu4+HzwkjOQe13314HjUsfRKsEFufVvzUA9OJO3/7aRpyS+SenAiZed+QerBiaQenEg5uV9QwLCF1Hfso5Tx2ic0YtYz9PimN0g9OJE27/2Abrzv/0g9ONHnfVBeTZSesZOy9x0ke6VzLLZXOshe6RyLTYXFVFBUQjE6vTt9ytRw97m90tEhfCBFP6SV8Yi/wQIghPixvfI2mfLRp09fAA1/qG22mNGzZ08EBwfDarMqVq8EG+TWK8EGufVS8tBc0xP5haUAgFpH/Wp6G14+irRl4YiLGI1eQT3c6XMeHI6X3/y8Q/nAZDLV6/zqdRYPnc1ar8vJ2oNx4yd0MB80rbOYLR4+sLVYdmeA4xGPxeyDdo5HZ0sAALUeq7tu2PUe0pZFIG7GGPQK6oEvv8uHqlsXPLNoKq6/KhjXX9Ozw/jAZMqHpq9T59fMWGy1XXos9mUfeNOG5uAJVjuj0fSByZQPAHB4vLkMDgqG2WyGxWJBYECgYvVKsEFuvRJskFsvJQ9TUSk01wQDaLg06nFjHhY+lY3dbx1H/tlSd/qdYTfhg+M/dCgfaDSaeh3V64I8dAGBTl1O1h7k5eVBp5/XwXzQtC4oOMjDBwEtls1IQ+77h8di9oE39FLyMBWVQtPbOVlqGI9OY+E/9mL3W58jv7AERIS/vvAvPJK2HyXWMvwv/3yH8YFG0wcF+U4dNTMWBwZceiz2ZR9404bmEETS1sP3RYQQfgAyAfQFcALAgwBGAdgBoAcAO4AoIjonhFgEYBaA7wH8CUAEEf3SUv5hYUPpk8+OA3A+35m6MBFqtRojRo3G4dx3kLFzF4wGg/s3FouWLENIaGiTecmtV4INcuuVYIPc+rbm0euOFPRQd8P6ZeGoqKrBsS9/xoSRA6Fb9QomjroZk8aEIqBHNyzf+DoKL1hxZ9iNuP3W/liz/Yg7j7q9T3zVBwBgtlixOCXJqRs5CkcO5SJ9eyZOGg3YsM6511jK4qWorq7GjPDJuO/+B9C9Rw88/ew6APX7YPmyD2w2G1KTk6BWqzBy5GgcPpSLbTsyYTQYsN7lg9TFSxESGorVK1cgJ3svxo4bj7VpGzH2rtE48cVx3998pQk4HvFYzD64TPFoeJIzHj0agYrKalc8uhm6lbswcdQgTLozFAEXv/i0AAAgAElEQVQ9VFi+4QAKL1ix4dEZ6NrFH199n48t2R8BqN8Hy1d9AABWqw2LUpKgVqmcukO52LY9E0Zjo7E4JBSPr1qBnCznWLwmbSNUKpV7YurLPpCiH3X7UHzRinjUWSdYUwHcR0TxQohRAF4BcADACSLKFELMBXAbgKcB5AIYBmeg+xnA0KYCmhAiDkAcAPTt1y/s1E+nL0tdGEbJ8EbDTnijYefvfdvKqDuGdeQJFscjhrkM8EbDTnijYWm0doLl+1G7bfwJwH9c558BIAADAHzqSvsUwEAANwAwEFENOTde/q65DIloCxENJaKhV191dftZzjAMw3QkOB4xDMN0MDrrBOsHAHXrcw4DIOB85GKkK22k6/UvAEKEEF2EEIFwBj2GYRiG8RYcjxiGYToYXeQ2QCYOApguhPgAzk8Ma+B8/GKnECIWQBmAuURUJIR41XXNKQD5AKpksplhGIbpeHA8YhiG6WB0ygkWEdXC+UPhOpa5/l68mxywkYjWCiGCAPwXQGF728cwDMN0DjgeMQzDdDw65QTrN/KoEGIcgGAAK13BkGEYhmEuNxyPGIZhfACeYF0CInoSwJNy28EwDMN0bjgeMQzD+AaddZELhmEYhmEYhmEYr8PfYLUDBOn73kilI+ybw/g+3tjDqtfY1ZL0F448LknvjT0/uD8CErdeYWSiqkZ6LOvWhe9/qXuOCtG59x7yBt7Yw6rXfc9I0p99Y4kkvaqrvyQ9wPtYAdL2Amutkkc9hmEYhmEYhmEYL8ETLIZhGIZhGIZhGC/BEyyGYRiGYRiGYRgvwROsdsJutyNOF43E+XHYu/sVd/pJowG6qEjooiJx0mjAqVPfY36cDvP0MUhb+6zX9J75xGqjkBCvx+5X6/MxGgyInjMb0XNmw2gwXLIuUvLwdb0SbJBbL6cNPdRdkb58KjYt/QtmTrjFnT59bAi2Lp+KzY9MxoDfXwUhBJ5f8iC2Lp+K5xb/vwbl6nXRWDBfjz0efcloNEAbFQltVCSMRme5SQnxGDbkVsX5QCl6KXnUj2n6BmOa0WhATFQkYhq1w/AW2oFpG1Labl5sNJIS4pDVKB7FRkciNtoZjxwOB5IT5yFeF4WUpPleK9+beShBr4+JRsI8PfY00mvnRkI7N7JT+MBX74Me6q5IXzYJmxbdh5ljB7nTp989EFsfeQCbF9+PAf1+h5v6XIkXl9yPl5ZMwuKHbm9Q7jy9FgsT4pG151V3+kmjAXrtHOi1c9x9KSVxPuJjo5GalKAoHyhFLyUPb74vaBYi6nAHgP4AjshV/uAhYbRl2w7au+8AWStqadr0CLJW1JK1opaitDr69ewFyi8sJq1O7063VtTSg5OnuM+l6suricqribZtz6Sc/a9TeTVReMQMd7o2JpbOnCuhs+dLSRcb505v6pCah6/rlWCD3Ho5bdA+mUPTHnmZ1GNWUfa735B6zCpSj1lFOe9+QwF3P059H3yGMt447k5Xj1lFr+Z+Sd3vXE3qMasoPWMnZe87SPZKB4VPn0H2SgfZKx0UHaMjU2ExFRSVUIxO706fMjXcfW6vdCjCB0rRS8kjPWMnZe07SLZKB02bPoNslQ6yudohv7CYTEUlpNXp3emTp4a7zwcPCSO544qvxqQhQ8IktZ25vJZe2raD9uQcIHN5LU0NjyBzeS2Zy2tprlZHp89coLyzxRSt07vTzeW1NGPmLCqxV5O5nONReTVRWZWDyqoctDVjJ2W/dpDKqpzjUV16dIyOCoqK6cy5EoqJ1bvT6w4l1EEpejlt0D71Bk1bkU3qcU9T9tGTpB73NKnHPU05739LAfc+S33Dn6OMf33pTlePe5oOfPid+/zFrTtod/Z+Ki2roanhEVRaVkOlZTU0N1pHvxScp9NnLlB0jN6dXlpWQzNmzqJiWxWVltUowgdK0UvJQ8r7gtbGI15F0IUQwo+IvLb0n8lkQkio89N2f7/6VV8sFjN69uwJALBZre70nKw9GDd+gtf09fnk1+fjX5+P2SMfq816kc6befi6Xgk2yK2X0wbN1cEw/lwEAKj1WJ1zw95PkZYyCYXFNvQK7A4AGPj7q7F49miYbRV1b2wblOvnUa7FbPEo19Zi3eX2gVL0UvJoVufRDrZWtkNnwNsxCZDSdiYMCrlYZzFfHI+++/YkNqx7FsHBPeHn59coH98dh9pb7zke2awt9wOl1sEXxiGpes3VgTD+7xwAoNZjJboNWf9BWuJ4FJbY0StQ7U6PuPtmHPniF/frAlM+BoWEXlRug/d2No++lLamyb4kpw+UopeShzffFzRHR35EsJcQ4mUhxAkhRIoQorcQ4m0hxAdCiLeEEFcDgBDiRyHEPwC8K4QIEUIcE0IcFUK87fp/XyHEv4QQ77n+Xt2awjUaDUymfACAwyNGBgUFw2w2w2KxICAwEIBzcpSXlwedfp7X9PX59KnPx1GfT7BHPoEBgZeoi7Q8fF2vBBvk1stpg+mcGZqrgwA0XF72+LcmLFz3JnYf+hr5RWYAwHenz0H/j/0QQqBf72B3uQX5znLJo9yg4CCPcgNarLvcPlCKXkoeGk0fmPKb0Hm0Q0Ar28FHkTUmAVLaToOCJnRBwRfHo4E3D8KLW3fAQQ7knT7tlfK9mYdS9Z7jUUBgy/1AqXXwhXFIqt50zgrNVc50P4+l849/fwYLNx7C7iNG5Bc539BH3H0z+vUOwtY3v3Rfd72mT9N9yfO9XYBHX0rfDofDgby8hn1JTh8oRS8lD2++L2gOUfcpb0dCCNEfwKcAbgTgAPAtgIMAThBRphBiLoDbiGiREOIXAA8T0TEhxCIANiLaUvfpoRBiD4ANRPRvIcRkAGOI6KKNDIQQcQDiAKBv335hn39pwOKUJKjVaowYOQpHDuUifXsmThoN2LBuDQAgZfFSVFdXY0b4ZNx3/wPo3qMHnn52HQDn86FS9HX77tjtdqQuTHTmM2o0Due+g4ydu2A0GNy/2Vq0ZBlCQkOb9afUPHxdrwQb5NbLaYNm0t+wPuUBVFTV4Ng3pzFh+E3Q/f01TLzjJkwaOQAB3bth+eZD8BMCSyPHQPgJOGodWPL8OyAi5B1cikUpSVCrVM5yD+Vi2/ZMGI0GrHf1pdTFSxESEorHV61ATtZejB03HmvSNkKlUjWY1MndDnLrpeRhsdqwOCUJKpUKI13tsNXVDp5jWl077Mvai3tc7TD+7tE48cVxn9285XLHpAbxqF+/sFM/Od+ctaXtqmocsNvtWJqaBJVajREjRuHI4VxsyXDGo41pzrZLXrQUvXpdibQ1T8NBDvj7+ePptevh5+fn3gfLl8chqfq691p2ux2pyUlQq1UYOdI1Hu3IhNHQaDxqpPfcB8tXfeAtvZw2aKakYX3iBFRU1+DYN/mYMOwG6J75FyYO/wMmjbgRAequWL7lfVz7uyuw78npeOvf/5+9Mw+Pokj/+KcImAEDAc+VAOuB6yqoXLpyeQFeu6vcK5CQO+GWUzzRPVwvBNT14gZRTsFbAe+f6LrinaAiqGDCDSGTTEISkvf3xwyTIQRI0h26k7yf5+knPZX+Vn2ruqberpmerk3kFxxk8rPvAbB5yXAmjRuDx+Phii6B99KcBf730vSpANw2bqL/vTT1YaSkhHphYTz06DTq1at32DpYTp8Hp/VW8sjJya3ydUGPCsaj2jzBmiMiPQKvNwE/AaNFZJMxpjXwhIjcZIzZDLQWETHGNAPuBs4CvhWRh40x6cDuQNb1gU0iEnes8jt07CQfffK/6qhahdGFTZXaQm1YaFg5/HaaytK982W1YYLlSEzq2LGTrPtsfZW960LD9mD1WksXGnYHtWGhYcXaQsPdKhiPavNvsMq23o9AF2BT4O+Ph46T0pGv4NAngcaYd4wxbwLpwIMi8lUg/aRqd64oiqLUNjQmKYqi1BFq8wSrLA8BC4wxSUAeMLScYwYZY+LwB8Id+APeBOApY8yhmzHnAouq366iKIpSi9GYpCiKUkuplRMsEfkV6BnyunVg9/pyjm0dsj8HmFPmkN+Am+13qSiKotQFNCYpiqLULfTGaEVRFEVRFEVRFJvQCZaiKIqiKIqiKIpN6ARLURRFURRFURTFJmrlb7CcxmDtMel2PDrf6UfCOl2+G7DyGNBDWH1EuNXzYLUKdjzhfN+791vSnzZ4viX93sXxlvR2cLDY2qOyrS7bYEdfPlBUXPXya+FyIjWF+ja8iZ2OB06Xb1ceVrDjusLp82BlqQewZ/marLcnW9I36/OMtfJXDbektwOn45EdfdlqX6oI+g2WoiiKoiiKoiiKTegES1EURVEURVEUxSZ0gqUoiqIoiqIoimITOsGqZnw+H0nxsYxITWbxiy8E09PT0oiLGUJczBDS09LK1SUnxDFiWDJLyujih0YTPzQ6qBs1IpXL2l9iq96OOlTFS3WVb0VvJQ+fz0dyYhwjhyezZHGILj2N+Nho4mOjSU/360aPSOWyDuWfB6fOgc/nIyUxjlHDk1laxn9CbDQJZfxfXo5/p/tyo/D6zBzZnf+kduFv3c4Npl/fvgULx13NwnFX0+OS5gB892Q/Hk/uTHzPPxy1HZ3oi6XnIeWw87AhPY3E2GgSY6PZkJ7Gxo0/MjwlkWHJCUyb+oit5Vvtxz6fj5Ep8YwdlcrypS8G079PTyM1IYbUhBi+D+TR6eILmDBmBAvmzjpqWyqVxw3jmJVYYLkONsTEGh+PHGwDO2KBHeOglTpY1TcKr8+ssdfy1KiruPWq84Pp13dsxaLJvVg0uRc92regYXh95o7vwYzh3Zk8sIOr6uB0PCqbR1WvbVKT4hg9opw6xEWTGOevw08bf2REaiLDUxKYfpS+dFREpEZuwJgqaDaVk9YOmBTYnw90s+qtQ4eOkl8kkl8kMmfeQlmx6lXJLxLpN2BgMD0+IUm2786SHXv2S2JSSjA9v0gkr7BEZs9dIMtXviJ5hSXSr/9AySsskbzCEolLSJRtu/bJ9t1ZkpCUHEzv3adfcN8Ofaifqtahql7sKN9OfVXz8BWUyKy5C2T5S6+Ir8Bfd19BifgK/HXP3LlPtu3KkoTE5GB67z79gvu+ghLLdbByDvIK/f6XvfSK5BaUSN/+AyW3oERyA/4zdu6TzF1ZEp+YHEy/pU+/4H5ugT190ao+8YkPpd+Da6VR/7myfN3P0qj/XGnUf65Mf+VbaZ2yRM5NWiz/eT1NGvWfK9/+slcWvf+T9P7X6uBxbuiLM+fMl6UvvSw5B4qlb/8BknOgWHIOFEtsfKL8tmOvZOzcJ/GJycH0nAPF8tdbegf3rZZvtR/7Ckrk6VnzZNGyVbInt0hu6TtA9uQWyZ7cIomOS5DNGbvl58w9MjQ+SfbkFkmbthfL3wZHy5KVr8me3CK5tH0HcTrm1NV4ZMc4ZnUcsiMeWRlH3DAGON0Goe1Q1TpYLd+ucdDJ8xj/2DvS9+9viOcvT8vyj34Sz1+eFs9fnpZpL30l58UukLNj5suTL38jnW9bJvc//5l4/vK0PPP6d9I6boF4/vK0K+rgdDyyen2ZV1giz82ZL0tXvCze/GLp22+AePOLxZvvr8PW7Xvltx3+OhxK9+YXy19v7i3e/GJp36FjheJRTX6K4BjgiYoebIwp99s6Efka+NouU2XJzMygTduLAQgLCwumZ3uzadq0KQA5uTkV1nmzvUFdbk5upcutqN6OOlR3XayWX1G9lTxCdfWOUvec3OOfB6fOwVHLDdUdx7/TfTnqlEakb80CoKSk9OlHy9f9wqIJ12CA0c99AkDn21/BGMPKO3uy5uvMCnup7r6YmZlZqqsX0gYhutycUt2KZUvo0bOXjeVb78fbMjO5sE3bI8rOyfYSWaYvvf/JekSEQf1upud1NxwzX5dQZ+JRdYxjlYlLTsVUq+XbpbeSh9NtYD0W2DMOWqmDVX3UqSeT/ute4PAn2S3/6CdeuOM6DIaRT31A+pZ93Nz5XB5O7ELzUxrR/NQIMvb4XFEHp+NRRfI4Xp/alplJmzbljWkhZZepw7VH6UtHw/FbBI0xZxtjvjDGLDLGpBljko0xC4wxXxpj7jTGnGmMecsY86Ex5k1jzOnGmMFAlDHmA2PM3caYRsaY5YFj3jfGtA7k/YEx5jFjzGqgNXCSMWaeMeZTY8wjgWOuNsbMLuPpLGPMGmNMR2NMpDFmmTHmXWPMe4fyrihRUS3IzMwADr+4i2wSSXZ2Nl6vl8YRjSusaxLZJKiLaBxR6XIrqrejDtVdF6vlV1RvJY+oqBZsy/Dr5Ch1bxxx/PPg1DmIimpBZkY55YbqjuPf6b6cuS+P5qc0Ag5/zPDEPpdw/X1vcd19bzGhj3+gFfE/kvxAYTHlPZHYqb4YFRVVqpOQNgjRRTT261YsW8LWrVtJTB5mY/nW+3HzqCi2ZWYeUXbjyCZ4s7PJCelL9erVIywsjHCP57BjqxuNR86MY5WJS07FVKvl26W3kofTbWA9FtgzDlqpg1V95l4fUacFxrmQGDNpQAd63fkKPe98mYn9OyACf1/0PybP+YSs3AJ+2eF1TR2cjkcVyeN4fap5aB0O04WUHVKH347Rl46GCdyK4BjGmLOBdcB5QFNgC/B7YA/wI/Aa8KWILDTGDAXaich4Y8wmETkUuMYCTUTkH8aYK4GxItLXGPMB8JyILA4cVxQo5zdgNXB7oMxoEUkyxswHPgZuBVJFZLMx5iHgaxFZYoy5FLhXRPofq04dO3aSdZ+tB/z3eY4bMwqPx0Pnrt1Yu/pt5i54nvS0tOA9qeMn3k6btm2DehHx624bjccTTpcu3Vi7ZjVz5i8kPS2N6Y89CsC4CZNo07Yt9917NyuWL+XaHj2ZOu1xwsPDLetDL0SrWofD9BX0EtIvLJUfilV9VfMoKfGfx/FjR+MJD/fr1qxmzryFpKeXqXubttw/5W5WLPOfh0cD5+HQOlhVrcOh81CVcwCQk+tjwtjRhIeH0yXgf3bA/4yAbmyI/5eWLeWaUP+mcmVXR19uFb+IaYlXcKComE+/30mv9lEkPfl/DOx2Lr3aRQHw/rfb+HzTbsbf4p9opW3J4qk3NwCHr4PlVF/M9uYwYexov65LV95Zs5pZ8xayocx5KCoqYmC/W7jhxj/TsFEjHnrkMaB03ZGqlp+Tk2upHwPs2e/ljgljCA/38KcuXXlv7Wqemb2A79PTeHLGVABGj51I/QYNeHK6P8+L2l7MsJG30aP7n/j6yy+qfSEhjUfVM44dGs6rOg7ZEY+sjCMej8dS+aE4FY/suK44dB6qWofc3FxL5Xtzcm0ZB508j1G3zmL6sO4cKCzm0w3b6dWxJYnT3uNvV51Prw4tAXjv6wxefH8jM4Z3p0FYPb75eQ8z30wHDl8Hq67GI6vXl/465DJxnL8OV3TuyjtrVzNrbqAO0wJ1GO+vw9/63cINN/2Zhg0b8eAjj3FV18v58ov1x41HbplgzRGRHoHXm0XkvMB+Gv7gM1pENgU+rXtCRG4qE9CeAV4SkXeMMfWBb0XkokBAixWRLYHjfhORloH9fwHfATs5PKD1wH8P/JLAcW8ApwAFAcsHRaRnOfVIAVIAWrZq1XHj5i1VbhOnzwk4v6Cg04sy2oEuNGzPQsNW0YWG3bHQcL6FhYZP8ARL41EIdpx7q8O5xiPr2HFd4fR5cMNCw1bRhYbdsdDwweKq51HRCZbzvc2PHGUfYDPQJbDfBf+niAAHTel97D8e5RiA0Kh+pjGmRWC/E/BTOV6SgThjzHWB1+nAIyJytYhcDdxUbgVEZopIJxHpdPppp5d3iKIoiuJ+NB4piqIolqgJD7l4CJhjjEkC8oChgfQVwBvGmLeAWcBCY8xH+ANi8lHy2g5MMcZcDHwiIl8aY64uc0wu0BdYboxpADwAPGuMGQ0Y4A1gqm21UxRFUWoKGo8URVGU4+L4BEtEfgV6hrxuHbJ/6KbJ68vR3VMmqV85x1xd5vXvyznmA+CDwH5cyL/+HLI/qFzziqIoSq1B45GiKIpiB265RVBRFEVRFEVRFKXGoxMsRVEURVEURVEUm9AJlqIoiqIoiqIoik04/hsspXpw+rGyTpfvBqw+Yt0OrJ6HMOerYBmrj1lvdt2/LXvIWnOXJb3Tjxe2oy9bfcSy4gxuGMesovHIHW1g1UP9WhCQrD5mvdm191n38N7fLemdjkd29OWi4qovG1JSwcfE6zdYiqIoiqIoiqIoNqETLEVRFEVRFEVRFJvQCZaiKIqiKIqiKIpNhN1///1Oe6h1zJw58/7E5BQAfD4fI1KTefutN/Hm5HDxxZcAkJ6Wxu0TxvHyqpWc/4cLOOOMM8rNy+fzMXJYCm+/9QY53hzahugnTxzPK6tWcv75fzhCf+geVavl21WHmqx3gwen9W7w4JT+yeX/5ekJN3HDFefRpFE4ab/sBqD/1Rcy/tbO3HhFazZl7OOUJg35d+q1/LXbH7ig5al8mpYRzOOOmO41ug3syGNfdg4TRg/jnTVvkZPj5aK2FwPw/YY0ptwxkTdeXcV555+PiHD/3ZNZ+/ab3DF+DINj4lm2+HmGpaZa++FAHcXueFRT+19t0bvBg9N6N3hwLB4tXcfTt9/CDVf8gSYnn0Taz7sA6H9tG8YP6saNXS5gU8Ze9mbnAfDEhL9wZfuzeffzzcE87oi9pka3gR157PfmMHZUKmtXv0VOTg5tDsWj9DTuuWMCr7+yitat/8DpZ5xBx4svYOMP37Nj+zbate/IgnmzKxaPREQ3m7cOHTpKfpFIfpHInHkLZcWqVyW/SKTfgIHB9PiEJNm+O0t27NkviUkpwfT8IpG8wpLgNnvuAlm+8hXJKyyRfv0HBtPjEhJl2659sn13liQkJR+mySsssVR+2c1qHjVd7wYPTuvd4MEpffy/X5G+dy0VzzUPyPL30sVzzQPiueYBWfH+Bono+aC07DNd5r7+VTDdc80D8vJHPxz22uk6uKEf/Oe5ubJw6UrZ6S2Um/v2l53eQtnpLZQhsQmycesu+em33RITnxRMT9ucIQMHRctOb6Fc2r6DOD2u19TNajyqLf2vtujd4MFpvRs8OBaP/rlC+k5eJJ7uU2T5u9+Jp/sU8XSfIive/U4irr5fWv71YZn72nrxdJ8ig+5ZIqkPvSzTF38cPM7TfYrjdXBDP3h61jx5Ydkq2ZtbJL37DpC9uUWyN7dIYuIS5OeM3fJL5h6JjU+SvblF0qbtxfK3wdGydOVrsje3qMLxSJ8iWM1kZmYEZ8ZhYWHB9GxvNk2bNgUgJzen0npvtjeoz83Jrbbyq7MONUXvBg9O693gwSl91GmNSQ98Shj6JLwZy/7LtNHXsTPLR7PGnmD6gGsu4p31P7uqDnbpreSxbVsmF7Zp69fVK9XleLOJDI5lpbqlLyxk4OCYY3pRKofT/UfHIW0DO/Ru8OBYPDo9sjQeFZcE02cs/YRpY29i575cmjVuyBnNTubS889i7utf8Mffn+aqOtilt5LHtsxMLjoUj8pcWwfjUa7/2vqDT9YjItza72Z6XnfDMf2EUmd/g2WMOSF1j4pqQWam/1ahkpLSN0Nkk0iys7Pxer00jmhcaX2TyCZBfUTjiGorvzrrUFP0bvDgtN4NHpzSZ+7JIer0JgDUC3k87PoftjNmxtssXptGxm4v4J9ctTqzCbNf+8pVdbBLbyWP5s2j2JaZeYSucZNIvNnZ5Hi9RDT260SEdR99SLcrrz6ml9pCTY9HNaH/1Ra9Gzw4rXeDB8fi0e7s0ngUsoTC+u8zGfPY6yxe8y0Zu7Lp3u5sTm92MnfFXsWV7c+hdYtTXVMHu/RW8mgeVX48ahLZBO+ha+sI/7V1vXr1CAsLI9zjOezY42FEavbaJMaYs4GVwE/AecDzwHxgFnAqYIAUEdlkjPkA+AJoCzwA/AsoDhxzM9AwoG0E+IBYEdltjNkEvARcAWwXkVuP5aljx06y7rP1gP/+0HFjRuHxeOjctRtrV7/N3AXPk56WxrSpjwAwfuLttGnbNqgPPSc+n49xt43G4wmnS5durF2zmjnzF5Kelsb0xx4FYNyESYfpA+1S5fLLYjWPmq53gwen9W7w4JQ+6uZHmT7mOg4UFvPpd7/R6/JzSXzwNa7/03nc1Pl8Iho24K5n3+N3p0bw0gMDePPTTeQXFDH5mXeDeRxaB6umtoEdeWzfs5+7Jt5GuMfD5Vd04f131vDUrPl8vyGNp2Y8BsDIsRO48KK2fPzRB6z/338ZO/EOAK676gq+/vIL1y+CUxvjUShO693gwWm9Gzw4rXeDB8fi0U3/YvrYP3Og8CCffreFXpefT+IDK7n+ivO5qcsFRDQ8ibueWcPOff5vX1r9rinD+17OnU+vCeZxaB2smtoGduSxe182kyeMITzcwxVduvLu2tU8O3sB36en8cSMqQCMGTuR+g0a8MR0/7V2m7YXM2zkbVzb/U8Vike1ZYL1OXAucCCw/yWwRkSWGGMuBe4Vkf6BgPaciCw2xvQFOonIXaZ01bLpwJcistAYMxRoJyLjjTG/Ar1F5GtjzBpgvIiklfGRAqQAtGzVquPGzVuqXCc7zokbFhVUlNqAGxYarg1484uqrK1hE6xaFY8URXEPblhouDaQV3CwytqKTrBqyy2CP4hIjogUAWnAWcBtgQD2ONA05NhPAn/fAIqMMYuAfwMNgAtC/v8J8MfA/kER+TqwvxX/J5GHISIzRaSTiHQ6/bTT7auZoiiKUpPQeKQoilLHqS0PufijMSYC/yeGbfF/YjhTRFYBGGNOCjm2OPA3TETuC/x/NnA98CPQBdgU+PvjUcpz/SepiqIoiiNoPFIURanj1JYJ1q/473E/H1gAzAWeNcaMxh983gCmltFcbYy5CzgIFAAf47+dY4ExJgnIA4aeEPeKoihKbeFXNB4piqLUaWrLBCtbRAaVSSv7GhG5OmT/TeDNcvK6vhxd6w+I0wgAACAASURBVJD9pKrbVBRFUWo5Go8URVHqOLXlN1iKoiiKoiiKoiiOU+O/wRKRX4GeTvtQFEVR6jYajxRFURTQb7AURVEURVEURVFso8Z/g1Ub0TWsFMU92LGGVbM/3WbNw2ePW/bgNA0bhFVZW0/HREVRFFvWsGp22ShrHj7/j2UPTtPwpOqPR/oNlqIoiqIoiqIoik3oBEtRFEVRFEVRFMUmdIJVzfh8PpLiYxmRmsziF18IpqenpREXM4S4mCGkp6W5Vu8GD07r3eDBab0bPDitt5JHI89JzPr7EJ6652/cemPHYHr/Xu2Z/fchPHPvIC44+0zOOKUxT9w5kCfuHMjGN+6n8cnhtaYNfD4fqUlxjB6RwtLFpboN6WkkxkWTGBfNhvQ0ftr4IyNSExmeksD0qY8c04tSOZzuPzoOaRtoGzjfBo08JzHrHzE8de8gbr2xUzC9/3UdmP3PGJ65bzAXnHMmDT0NmPuvocy4cyCTk45YMaJGt4HP5yM5IY4Rw5JZUkYXPzSa+KHRQd2oEalc1v6SY/ooFxHRzeatQ4eOkl8kkl8kMmfeQlmx6lXJLxLpN2BgMD0+IUm2786SHXv2S2JSSjC97Oa03g0enNa7wYPTejd4cFpvJY/4exZK39ueE0+HMbJ89Rfi6TBGPB3GyIo1X0rE5WOlZY+7ZO6qT4LpLXvcJc+/9lnwdW1og+fmzJelK14Wb36x9O03QLz5xeLNL5bY+ETZun2v/LZjn8QnJgfTvfnF8tebe4s3v1jad+goTo/rNXXTeFS79G7w4LTeDR6c1lvJI/7u+dJ3zDPiaTdSlr+9XjztRoqn3UhZsfoLieg0WlpeM1nmrlwnnQc9JPc/9Zp42o2UZ5Z8KK2vv1s87UbWijaYPXeBLF/5iuQVlki//gMlr7BE8gpLJC4hUbbt2ifbd2dJQlJyML13n37B/YrGI8e/wTLGjAnZP9sYc3Ml9ZuqUGZVNE2NMUMrq8vMzKBFi5YAhIWV/qgu25tN06ZNiYyMJCc3x7V6N3hwWu8GD07r3eDBab2VPKLObErGzv0AFJdIMH3G8+8xbVJ/UgZ0o1njRsH0mL9ezqLX/1er2mBbZiZRAV29EJ03O0SXU6pbsWwJ1/bsdUwvdqPxqPa+B2uL3g0enNa7wYPTeit5RJ3ZjIwdWUCZeLTwXaZNHkjKwCtp1qQRX/+QQXiD+jw8oS/NT4+k+RlNa00bHE3nzfYGdbk5uccs+3g4PsECxoTsnw1UKqCdQJoClQ5oUVEtyMzMAKCkpCSYHtkkkuzsbLxeL40jGrtW7wYPTuvd4MFpvRs8OK23kkfmzv1EnekPTqFPIFqfvpUxDy5j8ZvrydiZFUy/stP5fPj5T7WqDZpHRZWraxIZomvs161YtoTftm4lMXnYMb1UAxqPaul7sLbo3eDBab0bPDitt5JH5s4sos5sBkC9eqHxaAtjHljC4jf/R8aOLESEvz/9OpMfW0mWN49fMvbUmjY4mq5JZJOgLqJxxDHLPh5GRI5/VGUzNeZsYCXwE3Ae8DywBJgPNAJ8QCzQC5gDfAasBf4EXAb8CEwACoHp+CeCe4BYEck3xjwKdAN+AHqISKuj+PgA2AD8ATgA3CoiucaYTSLS2hhzDTAF/+Pq9wF/E5EDgU8UXwKuALaLyK3GmCeAGOAb4FEReeNo9e/YsZOs+2w94L/Pc9yYUXg8Hjp37cba1W8zd8HzpKelMS3w+4LxE2+nTdu25ebltN4NHpzWu8GD03o3eHBabyWPqKsmMX1yfw4UFvHp1z/Tq/OFJE5ZxPVdL+KmK9sQ0TCcux5/hZ17c7iyU2v+dPE5PDpvbVB/6DHtNbkN9mfnMHHcaDweD1d07so7a1cza+5CNqSnMWPaowCMHT+JoqIi/tbvFm646c80bNiIBx95jKu6Xs6XX6yv0rPaNR5pPKpNejd4cFrvBg9O663kEdV9PNPvGOiPR19tpleXi0i8dyHXd7uIm6682B+PZqxi594cZtw5kAb1w/jmhwxmLv8/oPQx7TW5DXJzcxl322g8nnC6dOnG2jWrmTN/IelpaUx/zB+Pxk2YRJu2bbnv3rtZsXwp1/boydRpj3PtVd0qFI+qc4L1OXAu/kDyOfAJ8F8RWRi4taGdiIw/FFwCuquBaBFJCrz+KPB6qzHmNqAYWAc8KCI3BMr5SUQaHMXHB8BzIrLYGHM34BORGSEB7WQR8QWOfRhID/j7FegtIl8bY9YA44FcYLaI9DxKWSlACkDLVq06bty8peoNqChKrULXwYKigyXHP+go2DDB0nikKIqCroMF/udPVJWuV1xWoXhUnbcI/iAiOSJSBKQB5+APagT+/rECebQBFgYC0yDgd/g//fscQER+BXYeJ49DP2T4DLigbP7GmDXGmA+BW4CWgfSDIvJ1YH8rcOrxjIrITBHpJCKdTj/t9OMdriiKopw4NB4piqIoJ4z61Zj3H40xEfg/MWyLP4h1ATYF/v4YOO6gMaaeiJTgvwUj1FMaMEhEtgMYY04K5BUbeN0KOPM4PjoBm/Hf6rGxzP/uBu4TkU+NMY8AR5uRmnK8KYqiKDUDjUeKoijKCaM6B+hfgVnA+cACYDGwwBiTBORR+gPdFcAbxpi3gHnAecaYFcDfgZHAfGPMoVsuHhSRtcaY740xn+IPeNuO46Nz4HaJQmBgmf8tAeYYY34EsgHvMfLZAeQbY14CnhaRd49TrqIoiuIOfkXjkaIoinKCqM4JVraIDCqTdsRKZSJyT5mk7hXQTKiEj6kiklFG3zrwdzH+QFs2/9Yh+0kh/7qxEuUqiqIo7kDjkaIoinLCqBW3GBhjLgKeLpM80wkviqIoSt1F45GiKIpSLROswI99y326UTWVtwG4upx/vXiiPCiKoijuQ+ORoiiKcqJxw0LDiqIoiqIoiqIotYJacYugoriRg8VVX/fnEPXDnP0MxOo6ecZUaekiW7F6Huw4B1bXsWo2cI618pclWtIXl1hfL9FXcNDR8hWlLpN7oOrvv0NEeJy9ZCyxOA7Uq+d8PLI6loXZUAer61idcutcS/p9SxIs6a32A4ACC+syVvSySL/BUhRFURRFURRFsQmdYCmKoiiKoiiKotiETrAURVEURVEURVFsQidY1YzP5yMpPpYRqcksfvGFYHp6WhpxMUOIixlCelqaa/Vu8OC03koePp+PlMQ4Rg1PYeniUt2G9DQSY6NJjI1mQ3oaGzf+yPCURIYlJzBt6iOuaQOfz0dyQhwjhiWzpIwufmg08UOjg7pRI1K5rP0ltnuwow52nAMn69AovD6zRl/JU8O7ceuV5wXTr+/QgkUTrmHRhGvocWkUAEOvPZ9pSVdw36CO1dCGyYe1YXp6Ggmx0STERpOe7teNHpHK5R2O7Ad5Ph9jhiUyYcxwXlpWutzTDxvSGZEcy4jkWH7YkE5xcTEjU+KYMGY4Y4YlUlJi/beMih+nx1KNR87Ho5Ep8YwblcqKpaUPtfx+QxrDEmMYlhjD9xv8uhcWzuOOibfx739McU0b+Hw+khPjGDk8mSVlxqH42Gjiy4xDl5UzDrmhDlbHUqfr0Ci8PjNHdeepYV35W/dzg+nXt2/B8+Ov4fnx19Dj0uaAPx49lnAF993awbby7egHPp+PEcnx3DYyleVLSt8LG9LTSImPISU+hg3ppWWPHzOCe++cVG47HhURqbUbcD8QfaLL7dCho+QXieQXicyZt1BWrHpV8otE+g0YGEyPT0iS7buzZMee/ZKYlBJML7s5rXeDB6f1Vc0j50CxzJwzX5a+9LLkHCiWvv0HSM6BYsk5UCyx8Yny2469krFzn8QnJgfTcw4Uy19v6R3cd7oNZs9dIMtXviJ5hSXSr/9AySsskbzCEolLSJRtu/bJ9t1ZkpCUHEzv3adfcD+vsMQV59Guc+BkHeJnfCB9H1gtnj6zZfnHm8XTZ7Z4+syWaau+kfOSXpSzE16QJ1/7TlrGLZI1X/4mj770tdz23LrgcVbLnzV3gSx76RXJLSiRvv0HSm5BieQW+PtBxs59krkrS+ITk4Ppt/TpF9w/tD3x7FxZsPgl2b6/QG7u01+27y+Q7fsLZPDQBPnh153y45ZdEh2XKD/8ulOGJiTL9v0FMjQhWTb8sl0uaddBnI4nGo+c17vBg9P6quaxO6dInpo5TxYtXSW7c4rklr4DZHdOkezOKZLo2ATZ9Ntu2ZyxR4bGJ8mGnzPl6h69ZPS4SfLQY48Hj3O6DWbNXSDLX3pFfAX+eOQrKBFfYBzK3LlPtu3KkoTE5GB67z79gvu+AnfEI6tjqRvqkPD4B9Lv32ukYb85svzjzdKw3xxp2G+OTHv5W2mdvFjOSXxRnnwtTVrFvyBrvvpNHl35jYyd9UnwOKf7ga+gRJ6ZNV9eXL5K9vkOSu9+A2Sf76Ds8x2UmLhE+SVzj/y6ba/EJiTLPt9BmbdoqTz+9EwZOWac7PMdlHbtO1YoHuk3WNVMZmYGLVq0BCAsLCyYnu3NpmnTpkRGRpKTm+NavRs8OK23kkdmZmaprl6pzhuiy80p1a1YtoQePXu5pg2OpvNme0P85x61XHfUwZ5z4GQdok5tRMYeHwDFxaWPMFr+8c+8MLEHSyf3ZMG7GznnzMZk5RZw76L1tDo9gnPObGxL+ZmZGbRoWY4utB/kHrsfbN+WSfOoI/PI8WYT2bQpTSIj8eXm0rhJEwoLCokeeAsHiw7SrNkpx8xXqThOj6Uaj5xtg22ZmTRv0eIIndfrDb4Hc3Nz2fLLzzRrdgpT/vFvMrZu5ZefN7uiDTIzM4gKjEP1jhKPco4zDrmhDlbHUqfrEHXqyWTsDcSjkCf6rVj3M4smXMuS23uw8P2NnH1mY7JyC5nywnpannayrfHIaj/YlplBVFT51wXB90JODrt27uS7b77iqquvPWZ+5VGrJljGmDbGmE+NMe8bY94KJN9ojHnVGPO1MeaPgeOuMsZ8aIz5wBjzrAk8S9oY82Ag/VNjzF8CafcbY5YZY94wxnxmjLmoMp6iolqQmZkBcNitLpFNIsnOzsbr9dI4ovHR5I7r3eDBab2VPKKiokp1UqprEqKLaOzXrVi2hK1bt5KYPMw1bXA0XZPIJiH+I45arjvqYM85cLIOmXvziDr1ZODwRw1P6ncpve59g573vMHEPpeybW8e+3ILANifV0hEwwa2lB8V1YLMjHJ0of0g4tj94KzmUWzfdmQejZtE4s3OJsfr5eSICL795itatvo9i5a9Qsvfn03at98cM1+3ovHIfr0bPDitt5JH86gotmdmHqFr0qRJ8D0YERHBWc2jaNqsmf9/kU3x+Q6/WHUyHm0LjENylHjU+DjjkBvqYHUsdboOmXt95cajiX0u4br73qTXlDeZ0PsStu3LIysQj7LzConw2BePrPaD5lEt2Lat/OsCb8h1wbqPP2L37t088uC/+PijD9n008Zj5huKCdy6UCswxowHckVkpjGmHjAFaCoiY40xg4EOwCTgS+BqEck2xkwH3gUOAr1FZJgxphHwKdAOuA84S0RSjTFdgUki0rucslOAFICWrVp13Lh5C+C/z3PcmFF4PB46d+3G2tVvM3fB86SnpQV/5zF+4u20adu23Do5rXeDB6f1Vc3jYHEJPp+PCWNH+3VduvLOmtXMmreQDelpzHjsUQDGTphEUVERA/vdwg03/pmGjRrx0COPAaVrMDnVBrm5uYy7bTQeTzhdunRj7ZrVzJm/kPS0NKYH/I+bMIk2bdty3713s2L5Uq7t0ZOp0x4nPDz8sHWwnKpDtjfHlnPgZB2iYhYwPbkzBwqL+fSHnfRq14LEJz7kb93PpVd7/yfS7327jRc/2MSUQR04ObwBDeobxs/+L1C6DlZVy/fm5DJh7GjCw8Pp0tXfD2bPW0h6mTZs06Yt90+5m5eWLeWaHj15NNAPAHbu2c9dk8YS7gnn8iu68v47a/jPzHn8sCGdpx73t/XI2ybQ6uxzmDA6lcimTdm3dy8znppFnz/35JuvvnB+EZtKoPHIfr0bPDitr2oeuQcO4vP5uGPCGDweD3/q3JX33lnN07MW8P2GNP4zYyoAo8ZO5MKL2vLgP+8jz+ej6GARD031r+N3aB0sp9ogJyeX8WNH4wkP9+vWrGZOYBw6LB4FxqEVy/zx6NA4FDoZcKoOVsfSMBfUoUXsQqYnXsGBomI+CcSjpCc/YmC30nj0/rfbePHDTUy5tQONwuvTIKweE+b649GhdbCc6gcA+7JzuH28/71wReeuvLt2Nc/OWcCG9DSenO5/L4weN5GL2vjL3rrlV2Y9+xT/fPBRru32J776cv1x41Ftm2A1A+4GzgK+BRoCm0XkeWNMNyARuB3YCBz6WDQCmA00BhKAnYH03wHdgFHAbyIyxxhTH/hWRI75qWHHjp1k3Wfrba2bUvPQhYZ1oWG7qA0LDefkF1VZe/3VnWviBEvjkeIadKFhXWjYLur6QsMVnWA5+26xnwIRmQhgjHkHyAY2hfzfAHuAn4G/iEhu4NgGQC9gjYjcFkg7SUQKAxeInYA5wGXATyeoLoqiKErNReORoihKHaW2TbAGGWPiAAF2cHgwA0BEJHDrxquBe91LgHEi8qYxposx5oOAPgOICcgiAvfQnwbEVXstFEVRlJqOxiNFUZQ6Sq2aYInIHPyf7JX3v4+BjwP7HwJHPBJERO45StarRWSRXT4VRVGU2o3GI0VRlLqL8z8uUBRFURRFURRFqSXUqm+wqgMRud9pD4qiKIqi8UhRFKVmoN9gKYqiKIqiKIqi2IR+g6Uo1YQbHu9tFTc8Zt0qteE8WH3MerPLRlkr//P/WNIDRDZqcPyDjoIbHk2sKDUZpx+xbgdueMy6VWrDWGb1MevNLh9tSZ/1vyct6QEanhRWZW1FT2HNv/JQFEVRFEVRFEVxCTrBUhRFURRFURRFsQmdYCmKoiiKoiiKotiETrCqGZ/PR1J8LCNSk1n84gvB9PS0NOJihhAXM4T0tDTX6t3gwWm9Gzw4rXeDB6f1bvBQVX0jz0nM+kcMT907iFtv7BRM739dB2b/M4Zn7hvMBeecSUNPA+b+aygz7hzI5KTrbfXg8/lITohjxLBklpTRxQ+NJn5odFA3akQql7W/5KjtoFSNmtp/3eTBab0bPDitd4MHp/Vu8GApHv09mqfuKSce/SOGZ6aUiUd3DGRyor3xyC79MRER3cpswGTgUyClKvoOHTpKfpFIfpHInHkLZcWqVyW/SKTfgIHB9PiEJNm+O0t27NkviUkpwfSym9N6N3hwWu8GD07r3eDBab0bPFRVH3/3fOk75hnxtBspy99eL552I8XTbqSsWP2FRHQaLS2vmSxzV66TzoMekvufek087UbKM0s+lNbX3y2ediNt8TB77gJZvvIVySsskX79B0peYYnkFZZIXEKibNu1T7bvzpKEpORgeu8+/YL77Tt0FKfjQk2NSRqPapfeDR6c1rvBg9N6N3iocjy6Z4H0ve1Z8bQfJctXfyGe9qPE036UPx5dNkZaXnuHPx4Nftgfj9qPkmeWfiitb7hHPO1HOV6HDhWMR/oNVvnEAd1EZKbVjDIzM2jRoiUAYWGlTy3J9mbTtGlTIiMjycnNca3eDR6c1rvBg9N6N3hwWu8GD1XVR53ZjIwdWQAUl0gwfcbCd5k2eSApA6+kWZNGfP1DBuEN6vPwhL40Pz2S5mc0tc3D0XTebG9Ql5uTe9S613HisCEm1dT+6yYPTuvd4MFpvRs8OK13g4cqx6MzmpbGo+KSYPqM599j2u0DSBnYvTQenVSfh8f3oflp9sYju/THok5NsIwxbYwxnxpj3jfGvGWM+YMx5gNjzIfGmKXGmIbGmLuBs4F3jTHdjDEPB47/0hiTUtkyo6JakJmZAUBJSWlHimwSSXZ2Nl6vl8YRjV2rd4MHp/Vu8OC03g0enNa7wUNV9Zk7s4g6sxlw+KOO16dvYcwDS1j85v/I2JGFiPD3p19n8mMryfLm8UvGHts8HE3XJLJJUBfROOKoda+NnOiYVFP7r5s8OK13gwen9W7w4LTeDR6qHI927SfqTP9k6Yh49O+lLH7zczJ2HopHbzB52iqycuyNR3bpj4UJ3H5QJzDGjAdyRWSmMaYesBKYJiIfGWOmAPtF5AljzCYRaR3QnCwiPmNMOPAd0EZEio5VTseOnWTdZ+sB//2d48aMwuPx0LlrN9aufpu5C54nPS2NaVMfAWD8xNtp07ZtuXk5rXeDB6f1bvDgtN4NHpzWu8FDVfVR3ccz/Y6BHCgs4tOvNtOry0Uk3ruQ67tdxE1XXkxEw3DumrGKnXtzmHHnQBrUD+ObHzKYufz/gMPXwaqqh9zcXMbdNhqPJ5wuXbqxds1q5sxfSHpaGtMfexSAcRMm0aZtW+67925WLF/KtT16MnXa41x7VTe+/GJ9zV9ApgwnIiZpPKpdejd4cFrvBg9O693gocrx6MoJTL9jAAcKivj065/p1eVCEu99nuu7XsRNV7YlolE4d8142R+P7gjEox9D4lHIOlhO1KHrnzrxRQXiUV2bYDUD7gbOAr4FYoFLROSgMaYn0FdERpQJZhOB3kAxcCn+YJZZTt4pQApAy1atOm7cvOWE1ElRFOV4uGGhYSuxpusVl9XWCVa1xCSNR4qiuBU3LDRshYpOsGr+0t6Vo0BEJgIYY94BtgNdgI8Cf38MPTgQ/OKBS4AGgf+X26iBe+Nngv8Tw2ryryiKotQeqiUmaTxSFEVxlro2wRpkjIkDBNgB/At40hhjgF1ATJnj9wMbgI+B74G9J86qoiiKUsvRmKQoilILqVMTLBGZA8wpk3xVOce1DvwVYMAJsKYoiqLUMTQmKYqi1E7q1FMEFUVRFEVRFEVRqhOdYCmKoiiKoiiKotiETrAURVEURVEURVFsok79BktRlLqH1aUo/M8bqNlYfcy61ce8A+z9zNlH6yqKojjNweKS4x90DOqH1fzvRaw+Zr3ZtfdZ9rB99ZQqa0sqeElR88+UoiiKoiiKoiiKS9AJlqIoiqIoiqIoik3oBEtRFEVRFEVRFMUmdIJVzfh8PpLiYxmRmsziF18IpqenpREXM4S4mCGkp6W5Vu8GD07r3eDBab0bPNihT06IY8SwZJaU0ccPjSZ+aHSdaIOq6Bt5TmLWP2J46t5B3Hpjp2B6/+s6MPufMTxz32AuOOdM6tUzzP3XUJ66dxCz/hFz2O/XfD4fyYlxjByezJLFIWWnpxEfG018bDTp6f6yR49I5bIOlxy1HkrVqKn9z00enNa7wYPTejd4qKre5/ORkhjHqOEpLA0ZBzekp5EYG01ibDQb0tPYuPFHhqckMiw5gWlTH3FVHZzWN/I0YNZdfXhq0s3c2uviYHr/a9sw+64+PDP5Fi74/WnB9Ccm/IUHR1x3RNnDk+O5bUQqy5a8GEzfkJ5GcnwMyfExbEgvLXvc6BHce+eko9alXEREN5u3Dh06Sn6RSH6RyJx5C2XFqlclv0ik34CBwfT4hCTZvjtLduzZL4lJKcH0spvTejd4cFrvBg9O693goar6vMISySsskdlzF8jyla9IXmGJ9Os/MJgel5Ao23btk+27syQhKTmYfmhzQx2c1sffPV/6jnlGPO1GyvK314un3UjxtBspK1Z/IRGdRkvLaybL3JXr5MxuE+W5ZR+Jp91IeW7ZR3LWlZOCx86au0CWv/SK+Ar87e8rKBFfgb/9M3fuk227siQhMTmY3rtPv+B++w4dxelxvaZuGo9ql94NHpzWu8FDVfUz58yXpS+9LDkHiqVv/wGSc6BYcg4US2x8ovy2Y69k7Nwn8YnJwfScA8Xy11t6B/fdUAen9fH/XCF9Jy8ST/cpsvzd78TTfYp4uk+RFe9+JxFX3y8t//qwzH1tvXi6T5FB9yyR1IdelumLPw4e5+k+RZ6ZPV9eXL5KsvIOSp9+AyQr76Bk5R2UoXGJ8uu2PfLr9r0Sm5AsWXkHZf4LS+WJp2fKqNvGSVbeQWnXvmLxqE58g2WMaWqMGVqJ49sZYyo5VS2fzMwMWrRoCUBYWFgwPdubTdOmTYmMjCQnN8e1ejd4cFrvBg9O693gobr03mxvUJ+bk3tUvZvrUN36qDObkbEjC4DikEcozVj4LtMmDyRl4JU0a9IIr+8A4Q3qs/KJYTSoH0aWN++wsqNa+suud5T2z8k9dvvXBjQe6TikbVB32yAzM7NUVy9kHAzR5eaU6lYsW0KPnr1cVQen9VGnR5KxywtAcchTGWcs/YRpY28ipc9lNGvckDOancyl55/F+1/8fEQe20LKPiweebOJPHQecnPYtXMn3379FVddc+1R63E06sQEC2gKHBHQjDFh5RyLiHwtIo/aUXBUVAsyMzMAKCkp7QiRTSLJzs7G6/XSOKKxa/Vu8OC03g0enNa7wUN16ZtENgnqIxpHHFXv5jpUtz5zZxZRZzYDoF690tv+1qdvYcwDS1j85v/I2JFF+wtbsmX7XvqOeZZfM/dyyR+iDit7W4a/bDlK+zeOOHb71xI0HlVR7wYPTuvd4MFpvRs8VFUfFRVVqpOQcTBEF9HYr1uxbAlbt24lMXmYq+rgtD5zdzZRpzcBysSj7zMZ89jrLF7zLRm7sune7mxOb3Yyd8VexZXtz6F1i1ODxzY/2vVA6HmIaMy6jz9iz+7dPPLvf/F/H37Ipp82HrU+ZTEi1taIqQkYY54AYoBvgJOBdOAUYDHQDrgciASeFZGZxpirgWgRSTLGzAeKgObAqcDNIrLrWOV17NhJ1n22HvDf5zluzCg8Hg+du3Zj7eq3mbvgedLT0oL31Y6feDtt2rYtNy+n9W7w4LTeDR6c1rvBQ1X1h8Y4n8/HuNtG4/GE06VLN9auWc2c+QtJT0tj+mP+69dxEyYdoS/7O6Ka2AZW9VHdxzP9joEcKCzi068206vLRSTeLXyz8QAAIABJREFUu5Dru13ETVdeTETDcO6asQqv7wDP3jeELG8epzWNIOW+ReQdKARg63sPMX7saDzh4f6y16xmzryFpKeXaf82bbl/yt2sWLaUa3v05NFpj9Pj6m58+cX6mr8gGRqP6uo4pG2gbQCQ7c1hwtjRfl2XrryzZjWz5i1kQ3oaMwLj4NgJkygqKmJgv1u44cY/07BRIx565DHg8HWwamobWNVH3fQvpo/9MwcKD/Lpd1vodfn5JD6wkuuvOJ+bulxARMOTuOuZNezc578jotXvmjK87+Xc+fSaYB6bVk7g9nFjCPd4uKJLV95du5rn5ixgQ3oaT0yfCsCYcRO5qI2/7K1bfmXWs0/xzwcf5Zquf+KrL48fj+rKBOtsYLaI9DTG3A+cJSKpgf+dLCI+Y0w48B3QBujK4QHtaxGZYYy5C/CKyBGrdhpjUoAUgJatWnXcuHnLCaiZoijHw+oYVxsWGraK0wsNd+t8WW2aYJ2NxiNFqZPoQsPWcXqh4YpOsOrqmfokZH+4MeZjYA1wRmAryxeBv1vxf2p4BCIyU0Q6iUin00873VaziqIoSq1F45GiKEoto77TBk4QhRxe12IAY0wzIB64BGgA/AiUNysN/Qi8VnyKqiiKojiCxiNFUZRaTl2ZYO0A8o0xL+H/RHBTIH0/sAH4GPge2OuMPUVRFKWOoPFIURSlllMnJlgiUgLcWE66AAPKkWQAHwSOiQs5flH1OFQURVHqAhqPFEVRaj919TdYiqIoiqIoiqIotqMTLEVRFEVRFEVRFJvQCZaiKIqiKIqiKIpN1InfYJ1oBCgpcXZ9Maulh9Wr+Q+nsrr+kdVTaEcLOr0Ek9Vl8uzwb3UdKqvnUUqsrVsC1tcucXq9QitrWB3ijOgFVdbm/6LPe6gqAhRbeBPYMQRZKR+gfpg1F25Yy87peGQHVlvR6mmw2gZ2XNZY7UtW9VbX0QLr13dOL5+77937LefRKnVZlbX7t2ZV6Dj9BktRFEVRFEVRFMUmdIKlKIqiKIqiKIpiEzrBqiZ8Ph/JiXGMHJ7MksUvBNPT09OIj40mPjaa9PQ0AEaPSOWyDpfYrk9JjGPU8GSWltEnxEaTUEZ/eRl92byS4mMZkZrM4hdD8kpLIy5mCHExQ0hPS3O1PjkhjhHDkllSRh8/NJr4odHl6u1oQ1v6QQW9jxqRymXtyz+PVtrAin+761CVfmD1PJbqUw7Tb0hPIzE2msTYaDakp7Fx448MT0lkWHIC06Y+YnsdrLShLfpEa/2gUXh9nhvZjSdTuzCw27nB9OvaR7Fw3FUsHHcV117SPJj+eHJnHojpVG47KpXDjveA1XEsNSmO0SPKeQ/FRZMY538PlZSUcNuoYaQkxjJ29PDDy7dhDDmUV12OR073A6vjkC0xuQbEo40//sjwlIRAPHm4HL098ciJ6wKn+xFAo5PC+E/i5UyL7US/K34fTO958VnMHt6Z2cM7c3WbMwGYOrQTH/7j+nLb8JiIiG42b+07dJRZcxfI8pdeEV9BifTrP1B8BSXiKyiRuIREydy5T7btypKExORgeu8+/YL7voISW/TLXnpFcgtKpG//gZJbUCK5AX3Gzn2SuStL4hOTg+m39OkX3M8tKJH8Igluc+YtlBWrXpX8IpF+AwYG0+MTkmT77izZsWe/JCalHKZxgz6vsETyCktk9twFsnzlK5JX6G/LQ+lxCYmybdc+2b47SxKSkoPphzarbWjHeays9959+h1RD6ttYMV/VcouWwer/cDqeZw5Z74sfellyTlQLH37D5CcA8WSc6BYYuMT5bcdeyVj5z6JT0wOpuccKJa/3tL7sNdW62C1Da3qrfYDX0GJJD7xofR/aK2cPGCerFj3s5w8YJ6cPGCeTH/lOzk/damcm7xE/vN6upw8YJ4MmfqeDH/6Y5nx6ndy8oB5Uq/Z2eL0uF5Tt0PxqKrvATvGsefmzJelK14Wb36x9O03QLz5xeLN97+Htm7fK7/t8L+HDqV784tl4K2DZb+vSLz5xbaNIXU5HuXacF3gdDyz6r8mxqPcghL56y19bI1HTl8XON2P8gpLZPjMT2XwjI/ktPglsuqzLXJa/BI5LX6JPPnm93Lx+FekzdiX5dk1PwbTX/18a3C//qnnVige6TdY5WCMaWqMGWolj8zMDKJatgSgXlhYMN2b7aVp06ZERkaSk5tbrfoWAX1YiD47RJ97DP0RebUoJy9vdoiXnBqnD23L3Jwj28KONrTlPFbBu135WPV/IupwvH5g9TxmZmaWllsvxH9Iubk5peWuWLaEHj172V8HC21oh95qP4g69WQy9uQBhz/0YMW6X3h+/NUsnngtC9//iTMiPVx6zil8kLb9mPnVFeyKR9beA9bO/7bMTKJalKcP6feB99AP328gNSmOyMim1KtXr9S/DWPIsfKqK/HIyX5gyzhmRxvUoHi0vEw8ORHxqLqvC5zuRwDNmzVi274j49Gq/21lzvAuzB/VjRf/7+dj5nE8dIJVPk0BSwEtKqoF2zIygMOfQtYksgnZ2dl4vV4aR0RUqz4zoC8J0UeG6COOoT8ir8xy8moSGeKlcY3Th7ZlROMj28KONrTlPFbBu135WPV/IupwvH5g9TxGRUWVlish/kPKjWjsL3fFsiVs3bqVxORh9tfBQhvaobfaDzL3+og6tREA9UKepDWxz8XccN/bXH/fW0zofTHdLvodp0U25I7+l3Jlm9/R+qwmx8y3DmBLPLL2HrB2/puHvocO04f0+8B76I8XXsRzs+dTIiVs3bKl1L8NY8ix8qor8cjJfmDLOGZHG9SQeLR82RJ+27qFpJRhIfrqj0fVfV3gdD8C2JaVx1mnNAQOj0dj/3whtzz8Pjc/9B5jbrrwmHkcF6dvX3DjBjwBZAEfAz8B9QPpQ4D7K3JLxq59ORI9NE6SklNlzvzn5dbB0eIrKJH/ffmtDBoSI4OGxMj/vvxWfAUlMmnynXLOOedKYlKK7PPmi6+gxLJ+Z0CfGKLPLSiRz0L0n335reQWlMjEgD4hKUX2evOPuEVwz/5ciRkaJ8kpw2TugkUyaHC05BeJrP/qOxk8JEYGD4mR9V99d9RbKpzSH/oqeHdWoC1TUmXu/Odl0OBoySsskc+//Dao//zLb4/4CtlqG9pxHivjfdLkO+Wcc8+VxOQUycrJP6wuVW0Dq/4rW3Z5dbDaD6yexx17vTIkJlYSk1Nl9ryFcuugIZJzoFg+++IbGTQ4WgYNjpbPvvhGPv7vemkeFSUJSSkycszYcm8RrGodrLahVb3VfuArKJHTo5+Xhe9tlFmrv5f4xz+UFz/cJCcPmCdxMz6QFz74SV744CdJevKj4K2DF45YrrcI2hSPrLwH7BjHtu8pfQ/NmrtQ/jZoiHjzi+W/67+RWwdHy62Do+W/67+RHzf/JinDRkpS6nBJHT4qeIugXWNIXY5HuTZcFzgdz6z6r0nxaN1nXwTjyagxY4Pn0I545PR1gdP9KK+wRFqlLpcX/+9nmfveT5L63KeydN0vclr8Ekl59hNZsu4XWbLuFxkx679yWvwSmfZauvy8M0fmvfeTNE9eVuFbBE1goFZCMMacDcwWkZ7GmOnAeyLymjHmLWCkiBzxvaExJgVIAWjZqlXHH3769QQ6PhJdB8v5dUd0HSx3rINldQ0eO8bImr4Olh3FW1oH652/U7zvl5o/KFUBO+LR9xbika6DZQ9OxyM70HWwakc8qunrYNnxdra0Dtard1G0Z/NxXegtgsdnATDUGPM7oGF5wQxARGaKSCcR6XTaaaefWIeKoihKXUDjkaIoSg1AJ1jlUwjUBxCRr4HfAyOBF44lUhRFURSb0XikKIpSw6jvtAGXsgPIN8a8BDwNLAXuB1o4aUpRFEWpc2g8UhRFqWHoBKscRKQEuDEk6V3gMYfsKIqiKHUUjUeKoig1D71FUFEURVEURVEUxSZ0gqUoiqIoiqIoimITOsFSFEVRFEVRFEWxCV0HqxowxuwGthzjkNOAPRaKcFrvBg9O693gwWm9Gzw4rXeDB6f1J8LD70VEnzdeBWpAPHKDB6f1bvDgtN4NHmq63g0enNafCA8Vikc6wXIAY8x6EelUU/Vu8OC03g0enNa7wYPTejd4cFrvFg9K1XDDuXPag9N6N3hwWu8GDzVd7wYPTuvd4gH0FkFFURRFURRFURTb0AmWoiiKoiiKoiiKTegEyxlm1nC9Gzw4rXeDB6f1bvDgtN4NHpzWu8WDUjXccO6c9uC03g0enNa7wUNN17vBg9N6t3jQ32ApiqIoiqIoiqLYhX6DpSiKoiiKoiiKYhM6wVIURVEURVEURbEJnWApiqIoiqIoiqLYhE6w6hjGmJuMMSnGmDBjTNsTXPZZZV6fUcV8mhljLgnsV6oPG2MGBP5eZIxZboy5oRLaesaYKyvn9og8lpZ5/Uwly/+3xfIHGWPOtJKHVYwxrcpsvzPGGCc9VYVAH+pujLmysv3CGHNjmdfX2OuuQh7CjDFnGWOaG2OaO1D+FGPM2Se6XMU9aDyq2/EokI+jMUnjkcajQPm2xyOdYFUzxpifjDEbA9vPxpjNgb8bK5lPuDFmpDHmH8aY+saYHlXw8jTQE0gSkWJgeiXr8KsxpsAYs9UYU2iM+bmSFl4o8/o/ldRjjEkAXgeeN8bUB16tZBbDAn8nAjOAKRUVikhJQFdpjDEtjDFdgdbGmC6B7SrgokqWf15lg3gZooC5xpjPjDH/Mcb0rYzYjn4IrADW4+8P64E3gI3GmL9VwsepxphHjTFzAz4GV8aAMebcwAXN6oB+fCX1L+J//wwFYoDoyuiBSWVej6hk+X80xqwyxqQF/l5YSX0ysAFIBz6hku8jY8xpxpgRxph7A4Gpwu+jEDYBTxtj3jPGJBpjGlchD6USaDw6DI1HzscjcD4maTyq4fEokIfVmGR7PNIJVjUjIueLyB/wD8LRwB+AIcCqSma1AAgDeorIQeDOKtj5o4iMB3yB12EVEYXU4T3gDyLSCmgNvFMRvfF/qnI38HtjzF2B7T78A2tlSQS6A/sC7dCoknpPICCEicg6oKCS+kxjzORAnboYY7pUUNcRSAKaA8mBbTAwtZLlRwJfGWPmGGNmGmMq9ThREZkKDAIeAjoBj1WyfDv64UbgPBHpDpwH/AB0AG6vRB7zgf8DWgd8JFTSw0zgn0CDgP7PldQ3F5HrRSQ5sKVURGSMiTHGrAXaGWPWBLb3gZMrWf484FHgUuAR/O1RGVKBi4FvgQuAbyqpfxV/X/wZ2BzYKoWIvCgiN+Hvj7+H/2/vzuNkqwprj/8Wk2PEBygqIGhAQMAJwTwwokQUIqiJA4OgqKAmMihKuMERXxCMiEaMycfwFDCC4JCAIYiIjOEqioqAiIgIoogCKqj4LsN6f+xddN/mDrWrqutUd6/v59Of7qpb++zdfatqnbNrD9zUeoxokzxKHlUTkUcwEZmUPJr7eQRDZtJs5NFqwx4g+vb0GiYAi9X+0fo6tj8q6aX19iAfYa9Sr8ot6aFA6xr9m9q+AcD2jZK26LPcHZQn6++An9X7llBelK3utX2fpF7b+wrlaRZTXryLJD14gPofDGxWv6D8DS9ZWSHbpwOnS9rc9tUD1Ntz1BBlkbQYuIVygvUq260nxqN4Hm5KeS5AObl6ku07Jd3RcIyH2D5D0lsGbIdtf0+DjwRZLGkr21c0ljsDuBA4BDi23rcE+EXjcW6z3XveLZZ0W2P5O2wvqSd3S5h6PvfrdtvDPhdXAXYBXkMJtCOGOV40SR4ljzrPI5iITEoezf08giEzaTbyKBdY43OTyvjmS4FtgJ83lrek9QFUxivfPUAb3gNcAGxUv7+tsfz/SPpv4JuUHrDF/RSyfTklRE5srG9ZTpP0X8BGkj4PfLalsO23M21YhaSdGsu/tuXxy3C3pOOBDahvwrZf0FD/BUPWfzLwbGA3YANJ59q+sKH8KJ6HpwCXSboC2AI4uQ6vObfhGH+UtG1tx1OZCsh+3S7plcCDJL2EEvAtXg7sIemeetu1V32FbP8W+C1wsKQnA2tTngebUIKuX7+f9n7yTOBXvWEptk/uo/ylkh5CCdgrKEMzWvxc0kHAZdQT42kB26+rKSdVR9q+XB2M+1/AkkfJI+g+j6D7TEoezf08guEzaeR5lI2Gx0Sla+IllCEZ1wKn1zHM/ZbfEvhnyhvAFcABtgd5EiJpHdu3NpYR5ePzh1N/B9vfaTzGrpQer8cD9wG/sf2ElmPU42wGbAlc3fo3kPQpZvSU2u7743xJGwOLGDCQJF0EHEk5uXgfsKPtmeOfl1Xu07b3kXTttPaLPt9IZxxrbcrch7dSeoH/V0PZkTwPJT0KeALwE9u/HKD8+pQhCVsBVwJvt933R/qSHkEZStIrf6TtO1vbMSiVMfNrAzfWu9zvsI5a/j3L+Sfbft8Kyu1n+3hJ2/XCR9Ijbf+m37prmZm9/W55HdVjXFSH5fRuf872K1qOEYNJHiWPavnO86ger9NMSh7N7Tyq5YbKpNnIo1xgjdGMHgIae2mGqfcdLGf4he2+h4ZIOsv2Lit/5HLLfwt4AfAFSo/Lu2y/ZcWl7i+73LHlLb0UKhN7ofwfbE0Ze31QQ/mBAmla+a/Z3lHS+bafK+lM263jrQdWh2PcAZxXv77ZcmI1ojasDRxOGZpxDXBU6wnWjONtAVzjMna93zJPn35CJmkX22c1lF+bEoibMcDv0Pv/7/fxKzjOWrZvb3j8/1B6i8+1veOw9Q9C0j6UydjPoPQ2AqwO3OUyBj7GIHmUPOo6j2obOs2k5FHyiFnKowwRHJPaQ7AWpYdAlIDpO9DqG/HBLB2I/T4hRzV5/CqVlXUuAe6tbWgZWnKH7dslrWr7tvpRer/2X879fY05v//BZSJxz8WSvtTQBoC7bX9Z0iLbZ0k6oLH8fXX4wS2SDqNMMu6bpDWAV7J0j2XL/IkdbC9pqbPW+28s/6So756u6kTgVODjwPbASUDTG1nvREDSoZSTpNuAPRoOcbSkN9r+iaTnA28G+g40pn6Hf2Gw32HQMfMASPpL4P3A6vV19H9tv6aPomdQhl9spLJyXG/Qf189z5LeZvtDy3o+NDwPRjXuPwaUPAKSR9B9HkH3mZQ8mqN5VOseNpNmLY9ygTU+jxuyh+BfKCut3LiyB85k+0QAlX0+fmXbdYjFoxoPtXX96i0ta6Cl1+FGlXG2X5d0FjUU++E61lzSM2x/u3e/GvdO0dLLp25A+99gqECirBYkyhvoq4FPNpY/ldJD9WLgS7S3/ymS/hl4JPAb4EDbl/ZR7t8b61mRh9v+dP35OkmvH+AYvQnhT7G9k6TWuQD7AieqzD/YF2haGpjhf4eBxsxP8w7gfwP/bfseSRv0U8j2B4APSDp8gBMhmFqpbeDng6eN+x/0GDG05FHyCLrPI+g+k5JHczePYMhMms08ygXW+AzVQ0AZY97XJN4VOMX2X0B59dRezOf3W9j2UJP+bO9bf/w7SU+jvDG3OoalQ/TdlB60fm1CCYHeJNLdGusfNpDeaPs04FbgWElfBY5rKL+W7UWSnmX7MElfaKz/I8Aetq+X9ETg05QerxXytMnMKptqbkp5Tn63sX6AP0jam9LTuz1w1wDHeIik/YCbe83qp9CMoT2nUsbN708ZHtAyIXao38H2Ji2PX4Yltu/S1OplrctPHVt7u3tDSj5he6VLRLssEIDtCyStCjx6gLqje8mj5BF0n0fQfSYlj+ZoHsFkZ1IusMZn2B6CVSR9kaVXSGm94p+5hGxf//+SXmX7M5IOn/lvLW1Y1lhn+nwjkLQbpZdsM03ttbE68Jh+669+DbyUMpF0S0rPxUcbyg8bSA+Zcbt135ReL+sSSc+ifTlT276+/vBjSU1j3SUdDTyNsnLX6yRdYbtlvxAoPXR/T9lv4hrKiUGr/YAXAkfWXugT+iw3c2jP12o7mob2MPU77EXZN6Wf4RD3G8HQmsUqqzY9RtKHgYtb6qcsSf19yv5H21FOavo+MawnE4dSTg7voLwentnYhuhO8ih5BN3nEXSfSfuSPJrTeQSTmUm5wBqTEfQQ/OcImnGryo7ZXwOeB/Q7GbE3WfJnlCdvb8x+62o708c6b0fbOOHvUV40j6bsuA5lnGxrD+zewDb1Y+zVKG9iLYE2bCBdKOnfKZN5d6BsTtjiffUN/F2Uk4P/01j+qjoModfT9f3G8s+xfX+vm6SWCd3TV5xavf78ZGBXykpg/R5HwHG93u+qr55bD7+scc8fbL9V0uqUMfd/bCw/1NAa24dLeiFlM8Wr3DAhunqM7T3rz+dKOr+x/JsoK159hXJi8fHG8tGh5BGQPILu8wg6yqTk0VLmeh7BBGZSLrDGRNIDekVsn9Rv+d649SHtR+nleCklCPpawtL22fXHNYFXMdXbdkJj/TPHCe/Xb0GXDSVvUFnOc/rQgAOAjzW04cfAGsA99fu1DWVhyECqwyl2ofz9Tml9I7J9fv3xUsr/Y6svUpY23piy50Prfh1XS1rP9s8kPY5yotGX3kmdpGOBzwPfALal8feow4m+LmnbPsfq30+jWaQBysTYHYH3Uk6yDqBsUtivUQytWY1ykneOpC1tX9lSWGWhgsX0MRxnGUaxMWR0JHkEJI8mIY+go0xKHi1lrucRTGAm5QJrfHqT/nrLsf6R0mPWFz1wz45f235iYxu2sH1YY5npltXb9k8N5Ucx1nknlt49fhf6CDRJ51DewNYGrpf0A2Bz4PqWyocNpHqMs2hbIeh+KhvpvYUSyL3jtQztOWx6T1sdUnJOH/X2evseBOwj6RfAurRvUArwdNuH1J8XSxpkcusrgb0k3Vvb1e8Qp6EXaah6YbiB7VdLOq+x/FBDayR9nPIe8mzbn6jDMlo2KX0D8I+UOSA3UwK5xSg2hozuJI+SR71jdJlH0H0mJY/mfh7BBGZSLrDGxPaR02+r7Pre4r2UHqr79+wYoBmvrb01pwIn2r6tsfx1DNfbti9lv449KUHS91hnSQcCBwHraWo5z7spPU/96Lt3cmWGCaQReDWweb8TQJdhoCElIxhSNN1Nmtr1fRsGuEgbtD0zJsQOMzF6NUn/QHlNQPt76bBDazZz2b+mF6Qz57OszEcoQ2EOpQThO+lzWeHaQ/gd23cBx0g63gNsDBndSR4ByaNRGDaPoPtMSh7N4TyCyc2kXGCNSf3oumd9ygupxTB7dgBgez9JD6P0tpwm6VbKai3nrqjcqHrbgN0pY92vpPQY7kGf481tHwccJ2lP26c01tsb0jEfXD1k+WHH3CPp2Sw9GfbkxkO8GngJZZz7OcDpA7Rh2I0VB54YXcfcvxNYBzizBlNTr+cIhtasIulPAEt6KMvZD2YFHlyHtmzlxmWFbd8naU/KiTGTEGTRJnkEJI9GYdg8gu4zKXk0h/MIJjeTcoE1Pr2JsKZM5n1zY/nenh2L1bhnxwwPo4zRfRjlY9RdJf2N7ZevoMyoetv2YbgJvVDG9x7DgG9kc9W0k4q1KPMFesFm2y/o9zjDDilRWTHrEZSx6pcCqwBNF1i2zfCT5IfdWHHgxTpqEBxue/oY977+jlp6YnVvcr5oX8Xt3cAFwEb1+9saysLUssK9zRRbl7X9de31nb7Ja+uFdnQneZQ8Gtio8qgW6DSTkkfzIo9gAjMpF1hj4hHt2SFpEfBUBtizQ9J/UiaTfoqye/r/q/efsJK6R9XbNuyQDigTmYd5I5ureicVL6SM276XEiQt45yBoYeUbGF7e0nn295D0mkDHmdYw26sOPBiHdVVknZn6TfzlQ4tGdWwFtsXAs+QtM6AJ3S9ZYX/QW3LCvdsAZwJ9Obd7EjjhXZ0J3kEJI+GMbI8gnmRScmjbvMIJjCTcoE1JpKeCTTvVq6ld3qf7sm0P3kW2f7BzDs9teHirBjhkA4Yza7rc07vpELS7rZ7+64g6ZWUzSbHpTfW/l5J61L+H7sw0AR1PXBi9M2UvWtax91vXb/eVG+bpTccXVk7HkoJlU2BHwLH2/59Q/kn1fJr1yEi2O5rFbb62O+z9HLIrRuU/s72EdPas2Vj+ehQ8ih5NIwJyiOYjExKHnWbRzCBmZQLrPEZaLdyyqoqo7K/pLfXj5QFHGO79aPcQYxsQi+jWflpLht235NhHV97mI4BzmawN8JR2JcBNoe0vUl97m9se5Ae695xhvoEAPgs8HXKEsXbAKcBL2os/0HgxiHb0UTSPpS/9VMlfaXevRoL73U41yWPRiN5tLRx5xFMRibtS/Jo7HkEk51JKsNPY7ZJusj2ny/vdsNxHmX7VwO24Wu2d1ze7blA0qMpKz9tROlxfJ/t1g0m56w6GXZ9piYE3+zhljpurX/mc+hztl8xrvqn1dtbHrg396NpzLiks2aMWW+t/4nAByhj/18EHGT72Iby59jeadrtr9p+fkP5022/pKXNoyBpTcqnHocAvd93CfALJ0zmjOTRaCSPus2j2obOMyl51E0e1bonNpPyCdb4zNytvGn1HUkvo6wMc0v9GPwdtluX1l2jN0ZW0jrAgxvLT4KBV36aD4adEDyoab1ET5uQXqJhlwceaMz6NJ+gvKF/pE6SfxFTb+79+GEdTvNN4JnA9+rY+xW2Y9oQrTtVlri+jDpJeRwTem3/FvgtcPBs1xWzKnk0GsmjDvIIJi6Tkkcd5FGtZ2IzKZ9gjUkd47oTZYzrNcAZLVfXkr5NmQh8p8pymBfYfkZjG54HfBy4lbL6zwG2Wzek65SkS4HtPG3lJ9vbdt2u+W7SeokknQTsP2ig6YEbMbql97zX49frPZV0rqdtljlA/X21Q9J7eo9jaqWlLYFrbL+z3/pjYUsejUbyqDuTlEnJo+TRsuQTrDGoY2y/1PKEX4afAL+rP/++3m5Sw2vzYYZ1TIBRrPwUjSall0ijW65+2DHrt9eb9QIHAAAKwUlEQVQevwdJeglwS0vh5dWvspfHisodUR93JlMbMz4S2Lil/li4kkcjlTzqyCRkUvIoebQiucAagzqJ9+uStnUfKzUtxyOByyV9h7Ih3c0q+z9g+w0rKijpVbY/I+kd1I9vS8aC7aYN6bqi0a78FHPXSCao1zHrH2SqB//vbF/XcIj9gQ9TAn434I2jaFc9bj8bl87cmPH8EdUf81zyaHjJo6iSR0XyaBlygTU+rwT2knRPvd00CRI4YuUPWa7evgQ3AY9iakO5uTQZd5QrP8Uc5dHtgfNvwHuZmoNyPNDSi/ga4BmUuRdbA69lNHMv+t1gcebGjKuMoO5YOJJHw0keRfJoSvJoGXKBNSYeYkM3SasAb7P94gHrPrv+uCbwKsqLcEsG28ytEyN8I4sAWNX2RfXnC+trrMU+wDbT514wmkDrd+7AKDZmjAUqeTSc5FGMWPJoHsoF1phImrkvwhLgh7a/vbKytu+TdKPqTt9DNGNvHvgi/KchjhcxV/1S0juZ6jFsnQMyW3Mv+uox9Gg2ZowFKnkUMVGSR/NQLrDGZ1dKj92llGUw7wIeKukq97e54q7AfpJ+BtxH+5AOyITciJ7XAG8AXk4Z875PY/knMTX3YjPght5SwS2Tm5fhb4coG9Gv5FHE5EgezUO5wBqfNWy/sHdD0pds7yzpG/0Utr3RoBVnQm7EA7zF9lG9G5IOAD7WUP6vB6lU0rWU1+IawGMpqz09BrjJ9hNtN+1HFDGg5FHE5EgezUO5wBqfDSU9zvbP6wZu69X7V7gpnqQtbF8labuZ/2b7kj7rzoTciKXtBBw17fYuNATaoHMwenNfJH0SOML2DZIeDyz4PUNirJJHEZMjeTQP5QJrfN4KnFE3ZbwTOKSOO//gSsrtClxFWS5z5oTDvgItE3IjCkkHAgcB60n6IWWM+d3A58fclE17r0vbN0raYsz1x8KWPIroWPJoftOYN7xesCStZfv2abefYLvvIRGSNgEWAetTlsBs2sguIqZI2tN2P/t7zFb9HwS2AL5JWVb3B7bf3lV7YmFJHkVMjuTR/JS16sfn05IeBCBpA+DExvKfBD4H/AlwLPDd0TYvYkE5R9Ixkv5L0ockrTPOym0fChxO+TTgXQmzGLPkUcTkSB7NQ7nAGp+jKKG2IXAyZSO4Fnfb/jKwxPZZlN6GiBjMCcDlwMH1+0njrLye3G5P2f/nCkl/Mc76Y8FLHkVMjhNIHs07ucAaE9sXU4Lsq8DrbV/XeIj76hj5WyQdxtSk5Iho93Dbn7Z9ne2TgIeNuf4TgVWB59u+B/j7MdcfC1jyKGKiJI/moSxyMcumLYPZ27BNwJmSWvcN2b0e582UDRr3GmlDIxaWP0jam6mNHVe4etosWMf2RyX9Vb3d14aOEcNIHkVMpOTRPJQLrFnWWwZzBMe5rf54K/CRURwzYgHbl9JLtydlw9PXjbl+S1q/fl+XsnJUxKxKHkVMpH1JHs07GSI4JpIOlaT6syQd2nWbIhaw1wK7AY8Hngd8ecz1vxX4DPAU4LPAIWOuPxaw5FHEREkezUO5wBqfnV3XxK/fd+64PREL2Ssoe39sVb+eMub6V7e9g+11bD+PDMmI8UoeRUyO5NE8lAus8XmopAcD1O/jnsQYEVOuBNbqsP4Pzbj9nk5aEQtV8ihiciSP5qHMwRqfjwCXSroc2IqyTG5EdONi4KeSflpvt07yH4ik3YAXA5tJ+kS9e3XgMbNdd8Q0yaOIyZE8modURwnEGEhaC/hT4Ee2f911eyIWKknfA3ayfcuY690Q2Igyxv3YevcS4ArbvxtnW2JhSx5FTIbk0fyUT7DGRNIawF8CGwA7ScL2+ztuVsRCdTlw+7grtX0DcIOk7Wxf0Ltf0gHAx8bdnliYkkcREyV5NA9lDtb4nErZJXsfYE1g426bE7GgbQ78WNI59esrY65/pxm3dxlz/bGwJY8iJkfyaB7KJ1jjs5btRZKeZfswSV/oukERC9jLuqhU0oHAQcB6kn5IWa3pbuDzXbQnFqzkUcTkSB7NQ7nAGp976/clkp4FbNZlYyIWsjo0oot6jwOOk7Sn7VO6aEMEyaOIiZE8mp+yyMWYSHouZYfux1KWwDzJ9qmdNioiOiFpHWAR5cT2GuAo27d226pYKJJHEdGTPJodmYM1Pk8BzgAOBB5HlsGMWMhOoExsPrh+P6nT1sRCkzyKiJ4TSB6NXD7BGhNJlwLb2b5H0mrAJba37bpdETF+ks63/dxpty+wvUOHTYoFJHkUET3Jo9mROVjjcx2wBnBP/X5tt82JiA79QdLewCXA9sBdHbcnFpbkUUT0JI9mQT7BmmWSzgEMrA2sD/yAsiTn9baf1WXbIqIbkh5NmfuyEXA98D7bv+y0UTHvJY8iYqbk0ezIJ1izb7+uGxARE2d3YDvgSkqP4R7ARzttUSwEyaOImCl5NAvyCVZExJhlDkxEREyC5NHsyCqCERHj15sDA5kDExER3UkezYJ8ghURMWaSLmNqDsxmwA3AbwBsv6DDpkVExAKSPJoducCKiBgzSRsu799s3zDOtkRExMKVPJoducCKiIiIiIgYkczBioiIiIiIGJFcYEVERERERIxILrAixkzSRpJ+Lel8Sd+StNeAx3m2pBPqz4skbbWCxx7UeOzjJT13Ge3+6krK/aihjhMkPbulXRERMTrJo/sfmzyKkcoFVkQ3LrP9XGBH4P1174n7SWp6bdo+2vYVK3hIU6BFRMSCkTyKGLFcYEV0yPYdwC+AtWsP4ocknQ1sLOlASRdJWixpPwBJj5V0gaQvA/v3jjO9903SwZK+Iek8Sa+RdAiwXj3+6yWtKek0SedK+pqkjWu5V0j6rqT/AP50Re2WtFc9/uLau6j6T2tI+lS9/x/rY1evjzlP0sWSsoFhRMSESR5FjM5qK39IRMwWSesBjwJ+Ve/6lu23Sdoc2Bl4DqUj5KIaNIuAf7V9iqR3AJvMON6WwF8D29dd2Ve1fa+kv609lEg6Gvii7c9KeipwtKTdgSOBrYE/ApevpOmn2z65Hu9U4M+BC4HHAu8BfgqcLelpwJ8BP7K9n6R1gS8C2w/2F4uIiNmQPIoYnVxgRXRja0nnAQbeYPu+2ul2Sf33LYEnA+fV248ANgCeBHy03vcNZgRaLXOx7XsAbN+7jLq3AnaQ9KZ6+x5gHeAW23cCSPr2Str/HEmHAqsCGwJn1Pt/YfvGeoxLgU1rfdtJ2rk+Zs2VHDsiIsYneRQxYrnAiujGZbafv4z7ewF0NfAd4GW2LWl123dLuhZ4JnAdsM0yyl8F/M20nsJVbN8H3DfjMYtt/weApDVqvetKejilx/BpK2n/0cDOtm+uPYa9IRnrSlrf9k21nV8E1qb0GH54Wn0RETEZkkcRI5YLrIgJZPtKlRWSLpB0L3CXpBcDHwBOkfQ64AE7rNu+StLpwCWSfg+cWL8W1yEdp1KGXvyrpAMpQXSm7WMkvRu4GLge+NlKmngScI6kH8y4/2bg3SorSF1i+9uSrgCOqz2kAN8CDm38k0RERAeSRxHtZLvrNkRERERERMwLWUUwIiIiIiJiRHKBFRERERERMSK5wIqIiIiIiBiRXGBFRERERESMSC6wIiIiIiIiRiQXWBERERERESOSC6yIiIiIiIgRyQVWRERERETEiPx/Rx/zGAJDhZIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "classes = [c for c in get_VOC2012_classes().values()][:-1]\n",
    "plt.figure(figsize=(12,8))\n",
    "plt.subplot(121)\n",
    "cm1=plot_confusion_matrix(conf_1, classes, normalize=True)\n",
    "plt.title('Original DeepLab\\nMean IOU: '+ str(np.round(np.diag(cm1).mean(), 2)))\n",
    "plt.subplot(122)\n",
    "cm2=plot_confusion_matrix(conf_2, classes, normalize=True)\n",
    "plt.title('Subpixel DeepLab\\nMean IOU: '+ str(np.round(np.diag(cm2).mean(), 2)))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
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